Evaluation of features to support safety and quality in general practice clinical software

PubMed Central

2011-01-01

Background Electronic prescribing is now the norm in many countries. We wished to find out if clinical software systems used by general practitioners in Australia include features (functional capabilities and other characteristics) that facilitate improved patient safety and care, with a focus on quality use of medicines. Methods Seven clinical software systems used in general practice were evaluated. Fifty software features that were previously rated as likely to have a high impact on safety and/or quality of care in general practice were tested and are reported here. Results The range of results for the implementation of 50 features across the 7 clinical software systems was as follows: 17-31 features (34-62%) were fully implemented, 9-13 (18-26%) partially implemented, and 9-20 (18-40%) not implemented. Key findings included: Access to evidence based drug and therapeutic information was limited. Decision support for prescribing was available but varied markedly between systems. During prescribing there was potential for medicine mis-selection in some systems, and linking a medicine with its indication was optional. The definition of 'current medicines' versus 'past medicines' was not always clear. There were limited resources for patients, and some medicines lists for patients were suboptimal. Results were provided to the software vendors, who were keen to improve their systems. Conclusions The clinical systems tested lack some of the features expected to support patient safety and quality of care. Standards and certification for clinical software would ensure that safety features are present and that there is a minimum level of clinical functionality that clinicians could expect to find in any system.

Software technology insertion: A study of success factors

NASA Technical Reports Server (NTRS)

Lydon, Tom

1990-01-01

Managing software development in large organizations has become increasingly difficult due to increasing technical complexity, stricter government standards, a shortage of experienced software engineers, competitive pressure for improved productivity and quality, the need to co-develop hardware and software together, and the rapid changes in both hardware and software technology. The 'software factory' approach to software development minimizes risks while maximizing productivity and quality through standardization, automation, and training. However, in practice, this approach is relatively inflexible when adopting new software technologies. The methods that a large multi-project software engineering organization can use to increase the likelihood of successful software technology insertion (STI), especially in a standardized engineering environment, are described.

IMPROVING (SOFTWARE) PATENT QUALITY THROUGH THE ADMINISTRATIVE PROCESS

PubMed Central

Rai, Arti K.

2014-01-01

The available evidence indicates that patent quality, particularly in the area of software, needs improvement. This Article argues that even an agency as institutionally constrained as the U.S. Patent and Trademark Office (“PTO”) could implement a portfolio of pragmatic, cost-effective quality improvement strategies. The argument in favor of these strategies draws upon not only legal theory and doctrine but also new data from a PTO software examination unit with relatively strict practices. Strategies that resolve around Section 112 of the patent statute could usefully be deployed at the initial examination stage. Other strategies could be deployed within the new post-issuance procedures available to the agency under the America Invents Act. Notably, although the strategies the Article discusses have the virtue of being neutral as to technology, they are likely to have a very significant practical impact in the area of software. PMID:25221346

IMPROVING (SOFTWARE) PATENT QUALITY THROUGH THE ADMINISTRATIVE PROCESS.

PubMed

Rai, Arti K

2013-11-24

The available evidence indicates that patent quality, particularly in the area of software, needs improvement. This Article argues that even an agency as institutionally constrained as the U.S. Patent and Trademark Office ("PTO") could implement a portfolio of pragmatic, cost-effective quality improvement strategies. The argument in favor of these strategies draws upon not only legal theory and doctrine but also new data from a PTO software examination unit with relatively strict practices. Strategies that resolve around Section 112 of the patent statute could usefully be deployed at the initial examination stage. Other strategies could be deployed within the new post-issuance procedures available to the agency under the America Invents Act. Notably, although the strategies the Article discusses have the virtue of being neutral as to technology, they are likely to have a very significant practical impact in the area of software.

[Use of Adobe Photoshop software in medical criminology].

PubMed

Nikitin, S A; Demidov, I V

2000-01-01

Describes the method of comparative analysis of various objects in practical medical criminology and making of high-quality photographs with the use of Adobe Photoshop software. Options of the software needed for expert evaluations are enumerated.

Assuring Software Cost Estimates: Is it an Oxymoron?

NASA Technical Reports Server (NTRS)

Hihn, Jarius; Tregre, Grant

2013-01-01

The software industry repeatedly observes cost growth of well over 100% even after decades of cost estimation research and well-known best practices, so "What's the problem?" In this paper we will provide an overview of the current state oj software cost estimation best practice. We then explore whether applying some of the methods used in software assurance might improve the quality of software cost estimates. This paper especially focuses on issues associated with model calibration, estimate review, and the development and documentation of estimates as part alan integrated plan.

Four Pillars for Improving the Quality of Safety-Critical Software-Reliant Systems

DTIC Science & Technology

2013-04-01

Studies of safety-critical software-reliant systems developed using the current practices of build-then-test show that requirements and architecture ... design defects make up approximately 70% of all defects, many system level related to operational quality attributes, and 80% of these defects are

Agile Development Methods for Space Operations

NASA Technical Reports Server (NTRS)

Trimble, Jay; Webster, Chris

2012-01-01

Main stream industry software development practice has gone from a traditional waterfall process to agile iterative development that allows for fast response to customer inputs and produces higher quality software at lower cost. How can we, the space ops community, adopt state of the art software development practice, achieve greater productivity at lower cost, and maintain safe and effective space flight operations? At NASA Ames, we are developing Mission Control Technologies Software, in collaboration with Johnson Space Center (JSC) and, more recently, the Jet Propulsion Laboratory (JPL).

ClassCompass: A Software Design Mentoring System

ERIC Educational Resources Information Center

Coelho, Wesley; Murphy, Gail

2007-01-01

Becoming a quality software developer requires practice under the guidance of an expert mentor. Unfortunately, in most academic environments, there are not enough experts to provide any significant design mentoring for software engineering students. To address this problem, we present a collaborative software design tool intended to maximize an…

Practical Methods for Estimating Software Systems Fault Content and Location

NASA Technical Reports Server (NTRS)

Nikora, A.; Schneidewind, N.; Munson, J.

1999-01-01

Over the past several years, we have developed techniques to discriminate between fault-prone software modules and those that are not, to estimate a software system's residual fault content, to identify those portions of a software system having the highest estimated number of faults, and to estimate the effects of requirements changes on software quality.

The State of Software for Evolutionary Biology.

PubMed

Darriba, Diego; Flouri, Tomáš; Stamatakis, Alexandros

2018-05-01

With Next Generation Sequencing data being routinely used, evolutionary biology is transforming into a computational science. Thus, researchers have to rely on a growing number of increasingly complex software. All widely used core tools in the field have grown considerably, in terms of the number of features as well as lines of code and consequently, also with respect to software complexity. A topic that has received little attention is the software engineering quality of widely used core analysis tools. Software developers appear to rarely assess the quality of their code, and this can have potential negative consequences for end-users. To this end, we assessed the code quality of 16 highly cited and compute-intensive tools mainly written in C/C++ (e.g., MrBayes, MAFFT, SweepFinder, etc.) and JAVA (BEAST) from the broader area of evolutionary biology that are being routinely used in current data analysis pipelines. Because, the software engineering quality of the tools we analyzed is rather unsatisfying, we provide a list of best practices for improving the quality of existing tools and list techniques that can be deployed for developing reliable, high quality scientific software from scratch. Finally, we also discuss journal as well as science policy and, more importantly, funding issues that need to be addressed for improving software engineering quality as well as ensuring support for developing new and maintaining existing software. Our intention is to raise the awareness of the community regarding software engineering quality issues and to emphasize the substantial lack of funding for scientific software development.

Quality and security - They work together

NASA Technical Reports Server (NTRS)

Carr, Richard; Tynan, Marie; Davis, Russell

1991-01-01

This paper describes the importance of considering computer security as part of software quality assurance practice. The intended audience is primarily those professionals involved in the design, development, and quality assurance of software. Many issues are raised which point to the need ultimately for integration of quality assurance and computer security disciplines. To address some of the issues raised, the NASA Automated Information Security program is presented as a model which may be used for improving interactions between the quality assurance and computer security community of professionals.

Evaluating the feasibility of using online software to collect patient information in a chiropractic practice-based research network.

PubMed

Kania-Richmond, Ania; Weeks, Laura; Scholten, Jeffrey; Reney, Mikaël

2016-03-01

Practice based research networks (PBRNs) are increasingly used as a tool for evidence based practice. We developed and tested the feasibility of using software to enable online collection of patient data within a chiropractic PBRN to support clinical decision making and research in participating clinics. To assess the feasibility of using online software to collect quality patient information. The study consisted of two phases: 1) Assessment of the quality of information provided, using a standardized form; and 2) Exploration of patients' perspectives and experiences regarding online information provision through semi-structured interviews. Data analysis was descriptive. Forty-five new patients were recruited. Thirty-six completed online forms, which were submitted by an appropriate person 100% of the time, with an error rate of less than 1%, and submitted in a timely manner 83% of the time. Twenty-one participants were interviewed. Overall, online forms were preferred given perceived security, ease of use, and enabling provision of more accurate information. Use of online software is feasible, provides high quality information, and is preferred by most participants. A pen-and-paper format should be available for patients with this preference and in case of technical difficulties.

Organizational Stresses and Practices Impeding Quality Software Development in Government Procurements

ERIC Educational Resources Information Center

Holcomb, Glenda S.

2010-01-01

This qualitative, phenomenological doctoral dissertation research study explored the software project team members perceptions of changing organizational cultures based on management decisions made at project deviation points. The research study provided a view into challenged or failing government software projects through the lived experiences…

Area navigation implementation for a microcomputer-based LORAN-C receiver

NASA Technical Reports Server (NTRS)

Oguri, F.

1983-01-01

Engineering performed to make LORAN-C a more useful and practical navigation system for general aviation is described. Development of new software, and implementation of this software on a (MOS6502) microcomputer to provide high quality practical area navigation information directly to the pilot and considered. Flight tests were performed specifically to examine the efficacy of this new software. Final results were exceptionally good and clearly demonstrate the merits of this new LORAN-C area navigation system.

A survey of quality assurance practices in biomedical open source software projects.

PubMed

Koru, Günes; El Emam, Khaled; Neisa, Angelica; Umarji, Medha

2007-05-07

Open source (OS) software is continuously gaining recognition and use in the biomedical domain, for example, in health informatics and bioinformatics. Given the mission critical nature of applications in this domain and their potential impact on patient safety, it is important to understand to what degree and how effectively biomedical OS developers perform standard quality assurance (QA) activities such as peer reviews and testing. This would allow the users of biomedical OS software to better understand the quality risks, if any, and the developers to identify process improvement opportunities to produce higher quality software. A survey of developers working on biomedical OS projects was conducted to examine the QA activities that are performed. We took a descriptive approach to summarize the implementation of QA activities and then examined some of the factors that may be related to the implementation of such practices. Our descriptive results show that 63% (95% CI, 54-72) of projects did not include peer reviews in their development process, while 82% (95% CI, 75-89) did include testing. Approximately 74% (95% CI, 67-81) of developers did not have a background in computing, 80% (95% CI, 74-87) were paid for their contributions to the project, and 52% (95% CI, 43-60) had PhDs. A multivariate logistic regression model to predict the implementation of peer reviews was not significant (likelihood ratio test = 16.86, 9 df, P = .051) and neither was a model to predict the implementation of testing (likelihood ratio test = 3.34, 9 df, P = .95). Less attention is paid to peer review than testing. However, the former is a complementary, and necessary, QA practice rather than an alternative. Therefore, one can argue that there are quality risks, at least at this point in time, in transitioning biomedical OS software into any critical settings that may have operational, financial, or safety implications. Developers of biomedical OS applications should invest more effort in implementing systemic peer review practices throughout the development and maintenance processes.

Software Development Standard Processes (SDSP)

NASA Technical Reports Server (NTRS)

Lavin, Milton L.; Wang, James J.; Morillo, Ronald; Mayer, John T.; Jamshidian, Barzia; Shimizu, Kenneth J.; Wilkinson, Belinda M.; Hihn, Jairus M.; Borgen, Rosana B.; Meyer, Kenneth N.;

The State of Software for Evolutionary Biology

PubMed Central

Darriba, Diego; Flouri, Tomáš; Stamatakis, Alexandros

2018-01-01

Abstract With Next Generation Sequencing data being routinely used, evolutionary biology is transforming into a computational science. Thus, researchers have to rely on a growing number of increasingly complex software. All widely used core tools in the field have grown considerably, in terms of the number of features as well as lines of code and consequently, also with respect to software complexity. A topic that has received little attention is the software engineering quality of widely used core analysis tools. Software developers appear to rarely assess the quality of their code, and this can have potential negative consequences for end-users. To this end, we assessed the code quality of 16 highly cited and compute-intensive tools mainly written in C/C++ (e.g., MrBayes, MAFFT, SweepFinder, etc.) and JAVA (BEAST) from the broader area of evolutionary biology that are being routinely used in current data analysis pipelines. Because, the software engineering quality of the tools we analyzed is rather unsatisfying, we provide a list of best practices for improving the quality of existing tools and list techniques that can be deployed for developing reliable, high quality scientific software from scratch. Finally, we also discuss journal as well as science policy and, more importantly, funding issues that need to be addressed for improving software engineering quality as well as ensuring support for developing new and maintaining existing software. Our intention is to raise the awareness of the community regarding software engineering quality issues and to emphasize the substantial lack of funding for scientific software development. PMID:29385525

The Research of Software Engineering Curriculum Reform

NASA Astrophysics Data System (ADS)

Kuang, Li-Qun; Han, Xie

With the problem that software engineering training can't meet the needs of the community, this paper analysis some outstanding reasons in software engineering curriculum teaching, such as old teaching contents, weak in practice and low quality of teachers etc. We propose the methods of teaching reform as guided by market demand, update the teaching content, optimize the teaching methods, reform the teaching practice, strengthen the teacher-student exchange and promote teachers and students together. We carried out the reform and explore positive and achieved the desired results.

Bridging the Research-to-Practice Gap in Education: A Software-Mediated Approach for Improving Classroom Instruction

ERIC Educational Resources Information Center

Weston, Mark E.; Bain, Alan

2015-01-01

This study reports findings from a matched-comparison, repeated-measure for intact groups design of the mediating effect of a suite of software on the quality of classroom instruction provided to students by teachers. The quality of instruction provided by teachers in the treatment and control groups was documented via observations that were…

Cost Effective Development of Usable Systems: Gaps between HCI and Software Architecture Design

NASA Astrophysics Data System (ADS)

Folmer, Eelke; Bosch, Jan

A software product with poor usability is likely to fail in a highly competitive market; therefore software developing organizations are paying more and more attention to ensuring the usability of their software. Practice, however, shows that product quality (which includes usability among others) is not that high as it could be. Studies of software projects (Pressman, 2001) reveal that organizations spend a relative large amount of money and effort on fixing usability problems during late stage development. Some of these problems could have been detected and fixed much earlier. This avoidable rework leads to high costs and because during development different tradeoffs have to be made, for example between cost and quality leads to systems with less than optimal usability. This problem has been around for a couple of decades especially after software engineering (SE) and human computer interaction (HCI) became disciplines on their own. While both disciplines developed themselves, several gaps appeared which are now receiving increased attention in research literature. Major gaps of understanding, both between suggested practice and how software is actually developed in industry, but also between the best practices of each of the fields have been identified (Carrol et al, 1994, Bass et al, 2001, Folmer and Bosch, 2002). In addition, there are gaps in the fields of differing terminology, concepts, education, and methods.

Evaluating the feasibility of using online software to collect patient information in a chiropractic practice-based research network

PubMed Central

Kania-Richmond, Ania; Weeks, Laura; Scholten, Jeffrey; Reney, Mikaël

2016-01-01

Background: Practice based research networks (PBRNs) are increasingly used as a tool for evidence based practice. We developed and tested the feasibility of using software to enable online collection of patient data within a chiropractic PBRN to support clinical decision making and research in participating clinics. Purpose: To assess the feasibility of using online software to collect quality patient information. Methods: The study consisted of two phases: 1) Assessment of the quality of information provided, using a standardized form; and 2) Exploration of patients’ perspectives and experiences regarding online information provision through semi-structured interviews. Data analysis was descriptive. Results: Forty-five new patients were recruited. Thirty-six completed online forms, which were submitted by an appropriate person 100% of the time, with an error rate of less than 1%, and submitted in a timely manner 83% of the time. Twenty-one participants were interviewed. Overall, online forms were preferred given perceived security, ease of use, and enabling provision of more accurate information. Conclusions: Use of online software is feasible, provides high quality information, and is preferred by most participants. A pen-and-paper format should be available for patients with this preference and in case of technical difficulties. PMID:27069272

Investigation of the current requirements engineering practices among software developers at the Universiti Utara Malaysia Information Technology (UUMIT) centre

NASA Astrophysics Data System (ADS)

Hussain, Azham; Mkpojiogu, Emmanuel O. C.; Abdullah, Inam

2016-08-01

Requirements Engineering (RE) is a systemic and integrated process of eliciting, elaborating, negotiating, validating and managing of the requirements of a system in a software development project. UUM has been supported by various systems developed and maintained by the UUM Information Technology (UUMIT) Centre. The aim of this study was to assess the current requirements engineering practices at UUMIT. The main problem that prompted this research is the lack of studies that support software development activities at the UUMIT. The study is geared at helping UUMIT produce quality but time and cost saving software products by implementing cutting edge and state of the art requirements engineering practices. Also, the study contributes to UUM by identifying the activities needed for software development so that the management will be able to allocate budget to provide adequate and precise training for the software developers. Three variables were investigated: Requirement Description, Requirements Development (comprising: Requirements Elicitation, Requirements Analysis and Negotiation, Requirements Validation), and Requirement Management. The results from the study showed that the current practice of requirement engineering in UUMIT is encouraging, but still need further development and improvement because a few RE practices were seldom practiced.

Product-based Safety Certification for Medical Devices Embedded Software.

PubMed

Neto, José Augusto; Figueiredo Damásio, Jemerson; Monthaler, Paul; Morais, Misael

2015-01-01

Worldwide medical device embedded software certification practices are currently focused on manufacturing best practices. In Brazil, the national regulatory agency does not hold a local certification process for software-intensive medical devices and admits international certification (e.g. FDA and CE) from local and international industry to operate in the Brazilian health care market. We present here a product-based certification process as a candidate process to support the Brazilian regulatory agency ANVISA in medical device software regulation. Center of Strategic Technology for Healthcare (NUTES) medical device embedded software certification is based on a solid safety quality model and has been tested with reasonable success against the Class I risk device Generic Infusion Pump (GIP).

Record of Assessment Moderation Practice (RAMP): Survey Software as a Mechanism of Continuous Quality Improvement

ERIC Educational Resources Information Center

Johnson, Genevieve Marie

2015-01-01

In higher education, assessment integrity is pivotal to student learning and satisfaction, and, therefore, a particularly important target of continuous quality improvement. This paper reports on the preliminary development and application of a process of recording and analysing current assessment moderation practices, with the aim of identifying…

Preface to QoIS 2009

NASA Astrophysics Data System (ADS)

Comyn-Wattiau, Isabelle; Thalheim, Bernhard

Quality assurance is a growing research domain within the Information Systems (IS) and Conceptual Modeling (CM) disciplines. Ongoing research on quality in IS and CM is highly diverse and encompasses theoretical aspects including quality definition and quality models, and practical/empirical aspects such as the development of methods, approaches and tools for quality measurement and improvement. Current research on quality also includes quality characteristics definitions, validation instruments, methodological and development approaches to quality assurance during software and information systems development, quality monitors, quality assurance during information systems development processes and practices, quality assurance both for data and (meta)schemata, quality support for information systems data import and export, quality of query answering, and cost/benefit analysis of quality assurance processes. Quality assurance is also depending on the application area and the specific requirements in applications such as health sector, logistics, public sector, financial sector, manufacturing, services, e-commerce, software, etc. Furthermore, quality assurance must also be supported for data aggregation, ETL processes, web content management and other multi-layered applications. Quality assurance is typically requiring resources and has therefore beside its benefits a computational and economical trade-off. It is therefore also based on compromising between the value of quality data and the cost for quality assurance.

Software engineering project management - A state-of-the-art report

NASA Technical Reports Server (NTRS)

Thayer, R. H.; Lehman, J. H.

1977-01-01

The management of software engineering projects in the aerospace industry was investigated. The survey assessed such features as contract type, specification preparation techniques, software documentation required by customers, planning and cost-estimating, quality control, the use of advanced program practices, software tools and test procedures, the education levels of project managers, programmers and analysts, work assignment, automatic software monitoring capabilities, design and coding reviews, production times, success rates, and organizational structure of the projects.

Section 3: Quality and Value-Based Requirements

NASA Astrophysics Data System (ADS)

Mylopoulos, John

Traditionally, research and practice in software engineering has focused its attention on specific software qualities, such as functionality and performance. According to this perspective, a system is deemed to be of good quality if it delivers all required functionality (“fitness-for-purpose”) and its performance is above required thresholds. Increasingly, primarily in research but also in practice, other qualities are attracting attention. To facilitate evolution, maintainability and adaptability are gaining popularity. Usability, universal accessibility, innovativeness, and enjoyability are being studied as novel types of non-functional requirements that we do not know how to define, let alone accommodate, but which we realize are critical under some contingencies. The growing importance of the business context in the design of software-intensive systems has also thrust economic value, legal compliance, and potential social and ethical implications into the forefront of requirements topics. A focus on the broader user environment and experience, as well as the organizational and societal implications of system use, thus has become more central to the requirements discourse. This section includes three contributions to this broad and increasingly important topic.

An Architecture, System Engineering, and Acquisition Approach for Space System Software Resiliency

NASA Astrophysics Data System (ADS)

Phillips, Dewanne Marie

Software intensive space systems can harbor defects and vulnerabilities that may enable external adversaries or malicious insiders to disrupt or disable system functions, risking mission compromise or loss. Mitigating this risk demands a sustained focus on the security and resiliency of the system architecture including software, hardware, and other components. Robust software engineering practices contribute to the foundation of a resilient system so that the system "can take a hit to a critical component and recover in a known, bounded, and generally acceptable period of time". Software resiliency must be a priority and addressed early in the life cycle development to contribute a secure and dependable space system. Those who develop, implement, and operate software intensive space systems must determine the factors and systems engineering practices to address when investing in software resiliency. This dissertation offers methodical approaches for improving space system resiliency through software architecture design, system engineering, increased software security, thereby reducing the risk of latent software defects and vulnerabilities. By providing greater attention to the early life cycle phases of development, we can alter the engineering process to help detect, eliminate, and avoid vulnerabilities before space systems are delivered. To achieve this objective, this dissertation will identify knowledge, techniques, and tools that engineers and managers can utilize to help them recognize how vulnerabilities are produced and discovered so that they can learn to circumvent them in future efforts. We conducted a systematic review of existing architectural practices, standards, security and coding practices, various threats, defects, and vulnerabilities that impact space systems from hundreds of relevant publications and interviews of subject matter experts. We expanded on the system-level body of knowledge for resiliency and identified a new software architecture framework and acquisition methodology to improve the resiliency of space systems from a software perspective with an emphasis on the early phases of the systems engineering life cycle. This methodology involves seven steps: 1) Define technical resiliency requirements, 1a) Identify standards/policy for software resiliency, 2) Develop a request for proposal (RFP)/statement of work (SOW) for resilient space systems software, 3) Define software resiliency goals for space systems, 4) Establish software resiliency quality attributes, 5) Perform architectural tradeoffs and identify risks, 6) Conduct architecture assessments as part of the procurement process, and 7) Ascertain space system software architecture resiliency metrics. Data illustrates that software vulnerabilities can lead to opportunities for malicious cyber activities, which could degrade the space mission capability for the user community. Reducing the number of vulnerabilities by improving architecture and software system engineering practices can contribute to making space systems more resilient. Since cyber-attacks are enabled by shortfalls in software, robust software engineering practices and an architectural design are foundational to resiliency, which is a quality that allows the system to "take a hit to a critical component and recover in a known, bounded, and generally acceptable period of time". To achieve software resiliency for space systems, acquirers and suppliers must identify relevant factors and systems engineering practices to apply across the lifecycle, in software requirements analysis, architecture development, design, implementation, verification and validation, and maintenance phases.

Perceptions of primary care staff on a regional data quality intervention in Australian general practice: a qualitative study.

PubMed

Ghosh, Abhijeet; McCarthy, Sandra; Halcomb, Elizabeth

2016-04-26

Technological advances in clinical data capturing and storage systems have led to recent attempts at disease surveillance and region specific population health planning through regularly collected primary care administrative clinical data. However the accuracy and comprehensiveness of primary care health records remain questionable. We aimed to explore the perceptions and experiences of general practice staff in maintaining accurate patient health data within clinical software used in primary care settings of regional NSW. Focus groups were conducted with general practitioners, practice nurses and practice administrative staff from 17 practices in the Illawarra-Shoalhaven region of the state of New South Wales (NSW) in Australia that had participated in the Sentinel Practices Data Sourcing (SPDS) project - a general practice based chronic disease surveillance and data quality improvement study. A total of 25 respondents that included 12 general practitioners (GPs) and 13 practice staff participated in the 6 focus groups. Focus groups were audio-recorded and transcribed verbatim. Thematic analysis of the data was undertaken. Five key themes emerged from the data. Firstly, the theme of resourcing data management raised issues of time constraints, the lack of a dedicated data management role and the importance of multidisciplinary involvement, including a data champion. The need for incentives was identified as being important to motivate ongoing commitment to maintaining data quality. However, quality of software packages, including coding issues and software limitations and information technology skills were seen as key barriers. The final theme provided insight into the lessons learnt from the project and the increased awareness of the importance of data quality amongst practice staff. The move towards electronic methods of maintaining general practice patient records offers significant potential benefits in terms of both patient care and monitoring of health status and health needs within the community. However, this study has reinforced the importance of human factors in the maintenance of such datasets. To achieve optimal benefits of electronic health and medical records for patient care and for population health planning purposes, it is extremely essential to address the barriers that clinicians and other staff face in maintaining complete and correct primary care patient electronic health and medical information.

Quality control in urodynamics and the role of software support in the QC procedure.

PubMed

Hogan, S; Jarvis, P; Gammie, A; Abrams, P

2011-11-01

This article aims to identify quality control (QC) best practice, to review published QC audits in order to identify how closely good practice is followed, and to carry out a market survey of the software features that support QC offered by urodynamics machines available in the UK. All UK distributors of urodynamic systems were contacted and asked to provide information on the software features relating to data quality of the products they supply. The results of the market survey show that the features offered by manufacturers differ greatly. Automated features, which can be turned off in most cases, include: cough recognition, detrusor contraction detection, and high pressure alerts. There are currently no systems that assess data quality based on published guidelines. A literature review of current QC guidelines for urodynamics was carried out; QC audits were included in the literature review to see how closely guidelines were being followed. This review highlights the fact that basic QC is not being carried out effectively by urodynamicists. Based on the software features currently available and the results of the literature review there is both the need and capacity for a greater degree of automation in relation to urodynamic data quality and accuracy assessment. Some progress has been made in this area and certain manufacturers have already developed automated cough detection. Copyright © 2011 Wiley Periodicals, Inc.

SAGA: A project to automate the management of software production systems

NASA Technical Reports Server (NTRS)

Campbell, Roy H.; Beckman-Davies, C. S.; Benzinger, L.; Beshers, G.; Laliberte, D.; Render, H.; Sum, R.; Smith, W.; Terwilliger, R.

1986-01-01

Research into software development is required to reduce its production cost and to improve its quality. Modern software systems, such as the embedded software required for NASA's space station initiative, stretch current software engineering techniques. The requirements to build large, reliable, and maintainable software systems increases with time. Much theoretical and practical research is in progress to improve software engineering techniques. One such technique is to build a software system or environment which directly supports the software engineering process, i.e., the SAGA project, comprising the research necessary to design and build a software development which automates the software engineering process. Progress under SAGA is described.

Air quality impacts of intercity freight. Volume 2 : appendices

DOT National Transportation Integrated Search

1998-07-01

This document presents best practices and practical advice on how to acquire the software components of Intelligent Transportation Systems (ITS). The executive summary briefly describes the themes and activities developed during the project developme...

The research and practice of spacecraft software engineering

NASA Astrophysics Data System (ADS)

Chen, Chengxin; Wang, Jinghua; Xu, Xiaoguang

2017-06-01

In order to ensure the safety and reliability of spacecraft software products, it is necessary to execute engineering management. Firstly, the paper introduces the problems of unsystematic planning, uncertain classified management and uncontinuous improved mechanism in domestic and foreign spacecraft software engineering management. Then, it proposes a solution for software engineering management based on system-integrated ideology in the perspective of spacecraft system. Finally, a application result of spacecraft is given as an example. The research can provides a reference for executing spacecraft software engineering management and improving software product quality.

Current Practice in Software Development for Computational Neuroscience and How to Improve It

PubMed Central

Gewaltig, Marc-Oliver; Cannon, Robert

2014-01-01

Almost all research work in computational neuroscience involves software. As researchers try to understand ever more complex systems, there is a continual need for software with new capabilities. Because of the wide range of questions being investigated, new software is often developed rapidly by individuals or small groups. In these cases, it can be hard to demonstrate that the software gives the right results. Software developers are often open about the code they produce and willing to share it, but there is little appreciation among potential users of the great diversity of software development practices and end results, and how this affects the suitability of software tools for use in research projects. To help clarify these issues, we have reviewed a range of software tools and asked how the culture and practice of software development affects their validity and trustworthiness. We identified four key questions that can be used to categorize software projects and correlate them with the type of product that results. The first question addresses what is being produced. The other three concern why, how, and by whom the work is done. The answers to these questions show strong correlations with the nature of the software being produced, and its suitability for particular purposes. Based on our findings, we suggest ways in which current software development practice in computational neuroscience can be improved and propose checklists to help developers, reviewers, and scientists to assess the quality of software and whether particular pieces of software are ready for use in research. PMID:24465191

Current practice in software development for computational neuroscience and how to improve it.

PubMed

Gewaltig, Marc-Oliver; Cannon, Robert

2014-01-01

Almost all research work in computational neuroscience involves software. As researchers try to understand ever more complex systems, there is a continual need for software with new capabilities. Because of the wide range of questions being investigated, new software is often developed rapidly by individuals or small groups. In these cases, it can be hard to demonstrate that the software gives the right results. Software developers are often open about the code they produce and willing to share it, but there is little appreciation among potential users of the great diversity of software development practices and end results, and how this affects the suitability of software tools for use in research projects. To help clarify these issues, we have reviewed a range of software tools and asked how the culture and practice of software development affects their validity and trustworthiness. We identified four key questions that can be used to categorize software projects and correlate them with the type of product that results. The first question addresses what is being produced. The other three concern why, how, and by whom the work is done. The answers to these questions show strong correlations with the nature of the software being produced, and its suitability for particular purposes. Based on our findings, we suggest ways in which current software development practice in computational neuroscience can be improved and propose checklists to help developers, reviewers, and scientists to assess the quality of software and whether particular pieces of software are ready for use in research.

Software Engineering Education Directory

DTIC Science & Technology

1988-01-01

Dana Hausman and Suzanne Woolf were crucial to the successful completion of this edition of the directory. Their teamwork, energy, and dedication...for this directory began in the summer of 1986 with a questionnaire mailed to schools selected from Peterson’s Graduate Programs in Engineering and...Christoper, and Siegel, Stan Software Cost Estimation and Life-Cycle Control by Putnam, Lawrence H. Software Quality Assurance: A Practical Approach by

Quality Improvement With Discrete Event Simulation: A Primer for Radiologists.

PubMed

Booker, Michael T; O'Connell, Ryan J; Desai, Bhushan; Duddalwar, Vinay A

2016-04-01

The application of simulation software in health care has transformed quality and process improvement. Specifically, software based on discrete-event simulation (DES) has shown the ability to improve radiology workflows and systems. Nevertheless, despite the successful application of DES in the medical literature, the power and value of simulation remains underutilized. For this reason, the basics of DES modeling are introduced, with specific attention to medical imaging. In an effort to provide readers with the tools necessary to begin their own DES analyses, the practical steps of choosing a software package and building a basic radiology model are discussed. In addition, three radiology system examples are presented, with accompanying DES models that assist in analysis and decision making. Through these simulations, we provide readers with an understanding of the theory, requirements, and benefits of implementing DES in their own radiology practices. Copyright © 2016 American College of Radiology. All rights reserved.

Abstract for 1999 Rational Software User Conference

NASA Technical Reports Server (NTRS)

Dunphy, Julia; Rouquette, Nicolas; Feather, Martin; Tung, Yu-Wen

1999-01-01

We develop spacecraft fault-protection software at NASA/JPL. Challenges exemplified by our task: 1) high-quality systems - need for extensive validation & verification; 2) multi-disciplinary context - involves experts from diverse areas; 3) embedded systems - must adapt to external practices, notations, etc.; and 4) development pressures - NASA's mandate of "better, faster, cheaper".

Teaching Quality Object-Oriented Programming

ERIC Educational Resources Information Center

Feldman, Yishai A.

2005-01-01

Computer science students need to learn how to write high-quality software. An important methodology for achieving quality is design-by-contract, in which code is developed together with its specification, which is given as class invariants and method pre- and postconditions. This paper describes practical experience in teaching design-by-contract…

Towards a Better Understanding of CMMI and Agile Integration - Multiple Case Study of Four Companies

NASA Astrophysics Data System (ADS)

Pikkarainen, Minna

The amount of software is increasing in the different domains in Europe. This provides the industries in smaller countries good opportunities to work in the international markets. Success in the global markets however demands the rapid production of high quality, error free software. Both CMMI and agile methods seem to provide a ready solution for quality and lead time improvements. There is not, however, much empirical evidence available either about 1) how the integration of these two aspects can be done in practice or 2) what it actually demands from assessors and software process improvement groups. The goal of this paper is to increase the understanding of CMMI and agile integration, in particular, focusing on the research question: how to use ‘lightweight’ style of CMMI assessments in agile contexts. This is done via four case studies in which assessments were conducted using the goals of CMMI integrated project management and collaboration and coordination with relevant stakeholder process areas and practices from XP and Scrum. The study shows that the use of agile practices may support the fulfilment of the goals of CMMI process areas but there are still many challenges for the agile teams to be solved within the continuous improvement programs. It also identifies practical advices to the assessors and improvement groups to take into consideration when conducting assessment in the context of agile software development.

The NASA Software Research Infusion Initiative: Successful Technology Transfer for Software Assurance

NASA Technical Reports Server (NTRS)

Hinchey, Michael G.; Pressburger, Thomas; Markosian, Lawrence; Feather, Martin S.

2006-01-01

New processes, methods and tools are constantly appearing in the field of software engineering. Many of these augur great potential in improving software development processes, resulting in higher quality software with greater levels of assurance. However, there are a number of obstacles that impede their infusion into software development practices. These are the recurring obstacles common to many forms of research. Practitioners cannot readily identify the emerging techniques that may most benefit them, and cannot afford to risk time and effort in evaluating and experimenting with them while there is still uncertainty about whether they will have payoff in this particular context. Similarly, researchers cannot readily identify those practitioners whose problems would be amenable to their techniques and lack the feedback from practical applications necessary to help them to evolve their techniques to make them more likely to be successful. This paper describes an ongoing effort conducted by a software engineering research infusion team, and the NASA Research Infusion Initiative, established by NASA s Software Engineering Initiative, to overcome these obstacles.

Standardized development of computer software. Part 1: Methods

NASA Technical Reports Server (NTRS)

Tausworthe, R. C.

1976-01-01

This work is a two-volume set on standards for modern software engineering methodology. This volume presents a tutorial and practical guide to the efficient development of reliable computer software, a unified and coordinated discipline for design, coding, testing, documentation, and project organization and management. The aim of the monograph is to provide formal disciplines for increasing the probability of securing software that is characterized by high degrees of initial correctness, readability, and maintainability, and to promote practices which aid in the consistent and orderly development of a total software system within schedule and budgetary constraints. These disciplines are set forth as a set of rules to be applied during software development to drastically reduce the time traditionally spent in debugging, to increase documentation quality, to foster understandability among those who must come in contact with it, and to facilitate operations and alterations of the program as requirements on the program environment change.

Mapping CMMI Level 2 to Scrum Practices: An Experience Report

NASA Astrophysics Data System (ADS)

Diaz, Jessica; Garbajosa, Juan; Calvo-Manzano, Jose A.

CMMI has been adopted advantageously in large companies for improvements in software quality, budget fulfilling, and customer satisfaction. However SPI strategies based on CMMI-DEV require heavy software development processes and large investments in terms of cost and time that medium/small companies do not deal with. The so-called light software development processes, such as Agile Software Development (ASD), deal with these challenges. ASD welcomes changing requirements and stresses the importance of adaptive planning, simplicity and continuous delivery of valuable software by short time-framed iterations. ASD is becoming convenient in a more and more global, and changing software market. It would be greatly useful to be able to introduce agile methods such as Scrum in compliance with CMMI process model. This paper intends to increase the understanding of the relationship between ASD and CMMI-DEV reporting empirical results that confirm theoretical comparisons between ASD practices and CMMI level2.

The Computational Infrastructure for Geodynamics as a Community of Practice

NASA Astrophysics Data System (ADS)

Hwang, L.; Kellogg, L. H.

2016-12-01

Computational Infrastructure for Geodynamics (CIG), geodynamics.org, originated in 2005 out of community recognition that the efforts of individual or small groups of researchers to develop scientifically-sound software is impossible to sustain, duplicates effort, and makes it difficult for scientists to adopt state-of-the art computational methods that promote new discovery. As a community of practice, participants in CIG share an interest in computational modeling in geodynamics and work together on open source software to build the capacity to support complex, extensible, scalable, interoperable, reliable, and reusable software in an effort to increase the return on investment in scientific software development and increase the quality of the resulting software. The group interacts regularly to learn from each other and better their practices formally through webinar series, workshops, and tutorials and informally through listservs and hackathons. Over the past decade, we have learned that successful scientific software development requires at a minimum: collaboration between domain-expert researchers, software developers and computational scientists; clearly identified and committed lead developer(s); well-defined scientific and computational goals that are regularly evaluated and updated; well-defined benchmarks and testing throughout development; attention throughout development to usability and extensibility; understanding and evaluation of the complexity of dependent libraries; and managed user expectations through education, training, and support. CIG's code donation standards provide the basis for recently formalized best practices in software development (geodynamics.org/cig/dev/best-practices/). Best practices include use of version control; widely used, open source software libraries; extensive test suites; portable configuration and build systems; extensive documentation internal and external to the code; and structured, human readable input formats.

Software for Optimizing Quality Assurance of Other Software

NASA Technical Reports Server (NTRS)

Feather, Martin; Cornford, Steven; Menzies, Tim

2004-01-01

Software assurance is the planned and systematic set of activities that ensures that software processes and products conform to requirements, standards, and procedures. Examples of such activities are the following: code inspections, unit tests, design reviews, performance analyses, construction of traceability matrices, etc. In practice, software development projects have only limited resources (e.g., schedule, budget, and availability of personnel) to cover the entire development effort, of which assurance is but a part. Projects must therefore select judiciously from among the possible assurance activities. At its heart, this can be viewed as an optimization problem; namely, to determine the allocation of limited resources (time, money, and personnel) to minimize risk or, alternatively, to minimize the resources needed to reduce risk to an acceptable level. The end result of the work reported here is a means to optimize quality-assurance processes used in developing software.

NorthStar, a support tool for the design and evaluation of quality improvement interventions in healthcare.

PubMed

Akl, Elie A; Treweek, Shaun; Foy, Robbie; Francis, Jill; Oxman, Andrew D

2007-06-26

The Research-Based Education and Quality Improvement (ReBEQI) European partnership aims to establish a framework and provide practical tools for the selection, implementation, and evaluation of quality improvement (QI) interventions. We describe the development and preliminary evaluation of the software tool NorthStar, a major product of the ReBEQI project. We focused the content of NorthStar on the design and evaluation of QI interventions. A lead individual from the ReBEQI group drafted each section, and at least two other group members reviewed it. The content is based on published literature, as well as material developed by the ReBEQI group. We developed the software in both a Microsoft Windows HTML help system version and a web-based version. In a preliminary evaluation, we surveyed 33 potential users about the acceptability and perceived utility of NorthStar. NorthStar consists of 18 sections covering the design and evaluation of QI interventions. The major focus of the intervention design sections is on how to identify determinants of practice (factors affecting practice patterns), while the major focus of the intervention evaluation sections is on how to design a cluster randomised trial. The two versions of the software can be transferred by email or CD, and are available for download from the internet. The software offers easy navigation and various functions to access the content. Potential users (55% response rate) reported above-moderate levels of confidence in carrying out QI research related tasks if using NorthStar, particularly when developing a protocol for a cluster randomised trial NorthStar is an integrated, accessible, practical, and acceptable tool to assist developers and evaluators of QI interventions.

NorthStar, a support tool for the design and evaluation of quality improvement interventions in healthcare

PubMed Central

Akl, Elie A; Treweek, Shaun; Foy, Robbie; Francis, Jill; Oxman, Andrew D

2007-01-01

Background The Research-Based Education and Quality Improvement (ReBEQI) European partnership aims to establish a framework and provide practical tools for the selection, implementation, and evaluation of quality improvement (QI) interventions. We describe the development and preliminary evaluation of the software tool NorthStar, a major product of the ReBEQI project. Methods We focused the content of NorthStar on the design and evaluation of QI interventions. A lead individual from the ReBEQI group drafted each section, and at least two other group members reviewed it. The content is based on published literature, as well as material developed by the ReBEQI group. We developed the software in both a Microsoft Windows HTML help system version and a web-based version. In a preliminary evaluation, we surveyed 33 potential users about the acceptability and perceived utility of NorthStar. Results NorthStar consists of 18 sections covering the design and evaluation of QI interventions. The major focus of the intervention design sections is on how to identify determinants of practice (factors affecting practice patterns), while the major focus of the intervention evaluation sections is on how to design a cluster randomised trial. The two versions of the software can be transferred by email or CD, and are available for download from the internet. The software offers easy navigation and various functions to access the content. Potential users (55% response rate) reported above-moderate levels of confidence in carrying out QI research related tasks if using NorthStar, particularly when developing a protocol for a cluster randomised trial Conclusion NorthStar is an integrated, accessible, practical, and acceptable tool to assist developers and evaluators of QI interventions. PMID:17594495

Server-based enterprise collaboration software improves safety and quality in high-volume PET/CT practice.

PubMed

McDonald, James E; Kessler, Marcus M; Hightower, Jeremy L; Henry, Susan D; Deloney, Linda A

2013-12-01

With increasing volumes of complex imaging cases and rising economic pressure on physician staffing, timely reporting will become progressively challenging. Current and planned iterations of PACS and electronic medical record systems do not offer workflow management tools to coordinate delivery of imaging interpretations with the needs of the patient and ordering physician. The adoption of a server-based enterprise collaboration software system by our Division of Nuclear Medicine has significantly improved our efficiency and quality of service.

The MDE Diploma: First International Postgraduate Specialization in Model-Driven Engineering

ERIC Educational Resources Information Center

Cabot, Jordi; Tisi, Massimo

2011-01-01

Model-Driven Engineering (MDE) is changing the way we build, operate, and maintain our software-intensive systems. Several projects using MDE practices are reporting significant improvements in quality and performance but, to be able to handle these projects, software engineers need a set of technical and interpersonal skills that are currently…

Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process.

PubMed

Sweidan, Michelle; Williamson, Margaret; Reeve, James F; Harvey, Ken; O'Neill, Jennifer A; Schattner, Peter; Snowdon, Teri

2010-04-15

Electronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to identify features of e-prescribing software systems that support patient safety and quality of care and that are useful to the clinician and the patient, with a focus on improving the quality use of medicines. Software features were identified by a literature review, key informants and an expert group. A modified Delphi process was used with a 12-member multidisciplinary expert group to reach consensus on the expected impact of the features in four domains: patient safety, quality of care, usefulness to the clinician and usefulness to the patient. The setting was electronic prescribing in general practice in Australia. A list of 114 software features was developed. Most of the features relate to the recording and use of patient data, the medication selection process, prescribing decision support, monitoring drug therapy and clinical reports. The expert group rated 78 of the features (68%) as likely to have a high positive impact in at least one domain, 36 features (32%) as medium impact, and none as low or negative impact. Twenty seven features were rated as high positive impact across 3 or 4 domains including patient safety and quality of care. Ten features were considered "aspirational" because of a lack of agreed standards and/or suitable knowledge bases. This study defines features of e-prescribing software systems that are expected to support safety and quality, especially in relation to prescribing and use of medicines in general practice. The features could be used to develop software standards, and could be adapted if necessary for use in other settings and countries.

Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process

PubMed Central

2010-01-01

Background Electronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to identify features of e-prescribing software systems that support patient safety and quality of care and that are useful to the clinician and the patient, with a focus on improving the quality use of medicines. Methods Software features were identified by a literature review, key informants and an expert group. A modified Delphi process was used with a 12-member multidisciplinary expert group to reach consensus on the expected impact of the features in four domains: patient safety, quality of care, usefulness to the clinician and usefulness to the patient. The setting was electronic prescribing in general practice in Australia. Results A list of 114 software features was developed. Most of the features relate to the recording and use of patient data, the medication selection process, prescribing decision support, monitoring drug therapy and clinical reports. The expert group rated 78 of the features (68%) as likely to have a high positive impact in at least one domain, 36 features (32%) as medium impact, and none as low or negative impact. Twenty seven features were rated as high positive impact across 3 or 4 domains including patient safety and quality of care. Ten features were considered "aspirational" because of a lack of agreed standards and/or suitable knowledge bases. Conclusions This study defines features of e-prescribing software systems that are expected to support safety and quality, especially in relation to prescribing and use of medicines in general practice. The features could be used to develop software standards, and could be adapted if necessary for use in other settings and countries. PMID:20398294

Implementing Software Safety in the NASA Environment

NASA Technical Reports Server (NTRS)

Wetherholt, Martha S.; Radley, Charles F.

1994-01-01

Until recently, NASA did not consider allowing computers total control of flight systems. Human operators, via hardware, have constituted the ultimate safety control. In an attempt to reduce costs, NASA has come to rely more and more heavily on computers and software to control space missions. (For example. software is now planned to control most of the operational functions of the International Space Station.) Thus the need for systematic software safety programs has become crucial for mission success. Concurrent engineering principles dictate that safety should be designed into software up front, not tested into the software after the fact. 'Cost of Quality' studies have statistics and metrics to prove the value of building quality and safety into the development cycle. Unfortunately, most software engineers are not familiar with designing for safety, and most safety engineers are not software experts. Software written to specifications which have not been safety analyzed is a major source of computer related accidents. Safer software is achieved step by step throughout the system and software life cycle. It is a process that includes requirements definition, hazard analyses, formal software inspections, safety analyses, testing, and maintenance. The greatest emphasis is placed on clearly and completely defining system and software requirements, including safety and reliability requirements. Unfortunately, development and review of requirements are the weakest link in the process. While some of the more academic methods, e.g. mathematical models, may help bring about safer software, this paper proposes the use of currently approved software methodologies, and sound software and assurance practices to show how, to a large degree, safety can be designed into software from the start. NASA's approach today is to first conduct a preliminary system hazard analysis (PHA) during the concept and planning phase of a project. This determines the overall hazard potential of the system to be built. Shortly thereafter, as the system requirements are being defined, the second iteration of hazard analyses takes place, the systems hazard analysis (SHA). During the systems requirements phase, decisions are made as to what functions of the system will be the responsibility of software. This is the most critical time to affect the safety of the software. From this point, software safety analyses as well as software engineering practices are the main focus for assuring safe software. While many of the steps proposed in this paper seem like just sound engineering practices, they are the best technical and most cost effective means to assure safe software within a safe system.

Construction of the Dependence Matrix Based on the TRIZ Contradiction Matrix in OOD

NASA Astrophysics Data System (ADS)

Ma, Jianhong; Zhang, Quan; Wang, Yanling; Luo, Tao

In the Object-Oriented software design (OOD), design of the class and object, definition of the classes’ interface and inheritance levels and determination of dependent relations have a serious impact on the reusability and flexibility of the system. According to the concrete problems of design, how to select the right solution from the hundreds of the design schemas which has become the focus of attention of designers. After analyzing lots of software design schemas in practice and Object-Oriented design patterns, this paper constructs the dependence matrix of Object-Oriented software design filed, referring to contradiction matrix of TRIZ (Theory of Inventive Problem Solving) proposed by the former Soviet Union innovation master Altshuller. As the practice indicates, it provides a intuitive, common and standardized method for designers to choose the right design schema. Make research and communication more effectively, and also improve the software development efficiency and software quality.

Micro sensor node for air pollutant monitoring: hardware and software issues.

PubMed

Choi, Sukwon; Kim, Nakyoung; Cha, Hojung; Ha, Rhan

2009-01-01

Wireless sensor networks equipped with various gas sensors have been actively used for air quality monitoring. Previous studies have typically explored system issues that include middleware or networking performance, but most research has barely considered the details of the hardware and software of the sensor node itself. In this paper, we focus on the design and implementation of a sensor board for air pollutant monitoring applications. Several hardware and software issues are discussed to explore the possibilities of a practical WSN-based air pollution monitoring system. Through extensive experiments and evaluation, we have determined the various characteristics of the gas sensors and their practical implications for air pollutant monitoring systems.

DPOI: Distributed software system development platform for ocean information service

NASA Astrophysics Data System (ADS)

Guo, Zhongwen; Hu, Keyong; Jiang, Yongguo; Sun, Zhaosui

2015-02-01

Ocean information management is of great importance as it has been employed in many areas of ocean science and technology. However, the developments of Ocean Information Systems (OISs) often suffer from low efficiency because of repetitive work and continuous modifications caused by dynamic requirements. In this paper, the basic requirements of OISs are analyzed first, and then a novel platform DPOI is proposed to improve development efficiency and enhance software quality of OISs by providing off-the-shelf resources. In the platform, the OIS is decomposed hierarchically into a set of modules, which can be reused in different system developments. These modules include the acquisition middleware and data loader that collect data from instruments and files respectively, the database that stores data consistently, the components that support fast application generation, the web services that make the data from distributed sources syntactical by use of predefined schemas and the configuration toolkit that enables software customization. With the assistance of the development platform, the software development needs no programming and the development procedure is thus accelerated greatly. We have applied the development platform in practical developments and evaluated its efficiency in several development practices and different development approaches. The results show that DPOI significantly improves development efficiency and software quality.

Software Writing Skills for Your Research - Lessons Learned from Workshops in the Geosciences

NASA Astrophysics Data System (ADS)

Hammitzsch, Martin

2016-04-01

Findings presented in scientific papers are based on data and software. Once in a while they come along with data - but not commonly with software. However, the software used to gain findings plays a crucial role in the scientific work. Nevertheless, software is rarely seen publishable. Thus researchers may not reproduce the findings without the software which is in conflict with the principle of reproducibility in sciences. For both, the writing of publishable software and the reproducibility issue, the quality of software is of utmost importance. For many programming scientists the treatment of source code, e.g. with code design, version control, documentation, and testing is associated with additional work that is not covered in the primary research task. This includes the adoption of processes following the software development life cycle. However, the adoption of software engineering rules and best practices has to be recognized and accepted as part of the scientific performance. Most scientists have little incentive to improve code and do not publish code because software engineering habits are rarely practised by researchers or students. Software engineering skills are not passed on to followers as for paper writing skill. Thus it is often felt that the software or code produced is not publishable. The quality of software and its source code has a decisive influence on the quality of research results obtained and their traceability. So establishing best practices from software engineering to serve scientific needs is crucial for the success of scientific software. Even though scientists use existing software and code, i.e., from open source software repositories, only few contribute their code back into the repositories. So writing and opening code for Open Science means that subsequent users are able to run the code, e.g. by the provision of sufficient documentation, sample data sets, tests and comments which in turn can be proven by adequate and qualified reviews. This assumes that scientist learn to write and release code and software as they learn to write and publish papers. Having this in mind, software could be valued and assessed as a contribution to science. But this requires the relevant skills that can be passed to colleagues and followers. Therefore, the GFZ German Research Centre for Geosciences performed three workshops in 2015 to address the passing of software writing skills to young scientists, the next generation of researchers in the Earth, planetary and space sciences. Experiences in running these workshops and the lessons learned will be summarized in this presentation. The workshops have received support and funding by Software Carpentry, a volunteer organization whose goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills, and by FOSTER (Facilitate Open Science Training for European Research), a two-year, EU-Funded (FP7) project, whose goal to produce a European-wide training programme that will help to incorporate Open Access approaches into existing research methodologies and to integrate Open Science principles and practice in the current research workflow by targeting the young researchers and other stakeholders.

Automated quality checks on repeat prescribing.

PubMed Central

Rogers, Jeremy E; Wroe, Christopher J; Roberts, Angus; Swallow, Angela; Stables, David; Cantrill, Judith A; Rector, Alan L

2003-01-01

BACKGROUND: Good clinical practice in primary care includes periodic review of repeat prescriptions. Markers of prescriptions that may need review have been described, but manually checking all repeat prescriptions against the markers would be impractical. AIM: To investigate the feasibility of computerising the application of repeat prescribing quality checks to electronic patient records in United Kingdom (UK) primary care. DESIGN OF STUDY: Software performance test against benchmark manual analysis of cross-sectional convenience sample of prescribing documentation. SETTING: Three general practices in Greater Manchester, in the north west of England, during a 4-month period in 2001. METHOD: A machine-readable drug information resource, based on the British National Formulary (BNF) as the 'gold standard' for valid drug indications, was installed in three practices. Software raised alerts for each repeat prescribed item where the electronic patient record contained no valid indication for the medication. Alerts raised by the software in two practices were analysed manually. Clinical reaction to the software was assessed by semi-structured interviews in three practices. RESULTS: There was no valid indication in the electronic medical records for 14.8% of repeat prescribed items. Sixty-two per cent of all alerts generated were incorrect. Forty-three per cent of all incorrect alerts were as a result of errors in the drug information resource, 44% to locally idiosyncratic clinical coding, 8% to the use of the BNF without adaptation as a gold standard, and 5% to the inability of the system to infer diagnoses that, although unrecorded, would be 'obvious' to a clinical reading the record. The interviewed clinicians supported the goals of the software. CONCLUSION: Using electronic records for secondary decision support purposes will benefit from (and may require) both more consistent electronic clinical data collection across multiple sites, and reconciling clinicians' willingness to infer unstated but 'obvious' diagnoses with the machine's inability to do the same. PMID:14702902

Flexible and Low-Cost Measurements for Space Software Development- The Measurements Exploration Framework

NASA Astrophysics Data System (ADS)

Marculescu, Bogdan; Feldt, Robert; Torkar, Richard; Green, Lars-Goran; Liljegren, Thomas; Hult, Erika

2011-08-01

Verification and validation is an important part of software development and accounts for significant amounts of the costs associated with such a project. For developers of life or mission critical systems, such as software being developed for space applications, a balance must be reached between ensuring the quality of the system by extensive and rigorous testing and reducing costs and allowing the company to compete.Ensuring the quality of any system starts with a quality development process. To evaluate both the software development process and the product itself, measurements are needed. A balance must be then struck between ensuring the best possible quality of both process and product on the one hand, and reducing the cost of performing requirements on the other.A number of measurements have already been defined and are being used. For some of these, data collection can be automated as well, further lowering costs associated with implementing them. In practice, however, there may be situations where existing measurements are unsuitable for a variety of reasons.This paper describes a framework for creating low cost, flexible measurements in areas where initial information is scarce. The framework, called The Measurements Exploration Framework, is aimed in particular at the Space Software development industry and was developed is such an environment.

Software engineering and Ada in design

NASA Technical Reports Server (NTRS)

Oneill, Don

1986-01-01

Modern software engineering promises significant reductions in software costs and improvements in software quality. The Ada language is the focus for these software methodology and tool improvements. The IBM FSD approach, including the software engineering practices that guide the systematic design and development of software products and the management of the software process are examined. The revised Ada design language adaptation is revealed. This four level design methodology is detailed including the purpose of each level, the management strategy that integrates the software design activity with the program milestones, and the technical strategy that maps the Ada constructs to each level of design. A complete description of each design level is provided along with specific design language recording guidelines for each level. Finally, some testimony is offered on education, tools, architecture, and metrics resulting from project use of the four level Ada design language adaptation.

From Exotic to Mainstream: A 10-year Odyssey from Internet Speed to Boundary Spanning with Scrum

NASA Astrophysics Data System (ADS)

Baskerville, Richard; Pries-Heje, Jan; Madsen, Sabine

Based on four empirical studies conducted over a 10-year time period from 1999 to 2008 we investigate how local software processes interact with global changes in the software development context. In 1999 companies were developing software at high speed in a desperate rush to be first-to-market. In 2001 a new high speed/quick results development process had become established practice. In 2003 changes in the market created the need for a more balanced view on speed and quality, and in 2008 companies were successfully combining agile and plan driven approaches to achieve the benefits of both. The studies reveal a twostage pattern in which dramatic changes in the market causes disruption of established practices, experimentation, and process adaptations followed by consolidation of lessons learnt into a new (and once again mature) software development process. Limitations, implications, and areas for future research are discussed.

Automated data mining of a proprietary database system for physician quality improvement.

PubMed

Johnstone, Peter A S; Crenshaw, Tim; Cassels, Diane G; Fox, Timothy H

2008-04-01

Physician practice quality improvement is a subject of intense national debate. This report describes using a software data acquisition program to mine an existing, commonly used proprietary radiation oncology database to assess physician performance. Between 2003 and 2004, a manual analysis was performed of electronic portal image (EPI) review records. Custom software was recently developed to mine the record-and-verify database and the review process of EPI at our institution. In late 2006, a report was developed that allowed for immediate review of physician completeness and speed of EPI review for any prescribed period. The software extracted >46,000 EPIs between 2003 and 2007, providing EPI review status and time to review by each physician. Between 2003 and 2007, the department EPI review improved from 77% to 97% (range, 85.4-100%), with a decrease in the mean time to review from 4.2 days to 2.4 days. The initial intervention in 2003 to 2004 was moderately successful in changing the EPI review patterns; it was not repeated because of the time required to perform it. However, the implementation in 2006 of the automated review tool yielded a profound change in practice. Using the software, the automated chart review required approximately 1.5 h for mining and extracting the data for the 4-year period. This study quantified the EPI review process as it evolved during a 4-year period at our institution and found that automation of data retrieval and review simplified and facilitated physician quality improvement.

Do Over or Make Do? Climate Models as a Software Development Challenge (Invited)

NASA Astrophysics Data System (ADS)

Easterbrook, S. M.

2010-12-01

We present the results of a comparative study of the software engineering culture and practices at four different earth system modeling centers: the UK Met Office Hadley Centre, the National Center for Atmospheric Research (NCAR), The Max-Planck-Institut für Meteorologie (MPI-M), and the Institut Pierre Simon Laplace (IPSL). The study investigated the software tools and techniques used at each center to assess their effectiveness. We also investigated how differences in the organizational structures, collaborative relationships, and technical infrastructures constrain the software development and affect software quality. Specific questions for the study included 1) Verification and Validation - What techniques are used to ensure that the code matches the scientists’ understanding of what it should do? How effective are these are at eliminating errors of correctness and errors of understanding? 2) Coordination - How are the contributions from across the modeling community coordinated? For coupled models, how are the differences in the priorities of different, overlapping communities of users addressed? 3) Division of responsibility - How are the responsibilities for coding, verification, and coordination distributed between different roles (scientific, engineering, support) in the organization? 4) Planning and release processes - How do modelers decide on priorities for model development, how do they decide which changes to tackle in a particular release of the model? 5) Debugging - How do scientists debug the models, what types of bugs do they find in their code, and how they find them? The results show that each center has evolved a set of model development practices that are tailored to their needs and organizational constraints. These practices emphasize scientific validity, but tend to neglect other software qualities, and all the centers struggle frequently with software problems. The testing processes are effective at removing software errors prior to release, but the code is hard to understand and hard to change. Software errors and model configuration problems are common during model development, and appear to have a serious impact on scientific productivity. These problems have grown dramatically in recent years with the growth in size and complexity of earth system models. Much of the success in obtaining valid simulations from the models depends on the scientists developing their own code, experimenting with alternatives, running frequent full system tests, and exploring patterns in the results. Blind application of generic software engineering processes is unlikely to work well. Instead, each center needs to lean how to balance the need for better coordination through a more disciplined approach with the freedom to explore, and the value of having scientists work directly with the code. This suggests that each center can learn a lot from comparing their practices with others, but that each might need to develop a different set of best practices.

Information security system quality assessment through the intelligent tools

NASA Astrophysics Data System (ADS)

Trapeznikov, E. V.

2018-04-01

The technology development has shown the automated system information security comprehensive analysis necessity. The subject area analysis indicates the study relevance. The research objective is to develop the information security system quality assessment methodology based on the intelligent tools. The basis of the methodology is the information security assessment model in the information system through the neural network. The paper presents the security assessment model, its algorithm. The methodology practical implementation results in the form of the software flow diagram are represented. The practical significance of the model being developed is noted in conclusions.

[Implementation of a web based software for documentation and control of quality of an acute pain service].

PubMed

Pawlik, Michael T; Abel, Reinhard; Abt, Gregor; Kieninger, Martin; Graf, Bernhard Martin; Taeger, Kai; Ittner, Karl Peter

2009-07-01

Providing an acute pain service means accumulation of a large amount of data. The alleviation of data collection, improvement of data quality and data analysis plays a pivotal role. The electronic medical record (EMR) is gaining more and more importance in this context and is continuously spreading in clinical practice. Up to now only a few commercial softwares are available that specifically fit to the needs of an acute pain service. Here we report the development and implementation of such a program (Schmerzvisite, Medlinq, Hamburg, Germany) in the acute pain service of a University Hospital.

Data quality can make or break a research infrastructure

NASA Astrophysics Data System (ADS)

Pastorello, G.; Gunter, D.; Chu, H.; Christianson, D. S.; Trotta, C.; Canfora, E.; Faybishenko, B.; Cheah, Y. W.; Beekwilder, N.; Chan, S.; Dengel, S.; Keenan, T. F.; O'Brien, F.; Elbashandy, A.; Poindexter, C.; Humphrey, M.; Papale, D.; Agarwal, D.

2017-12-01

Research infrastructures (RIs) commonly support observational data provided by multiple, independent sources. Uniformity in the data distributed by such RIs is important in most applications, e.g., in comparative studies using data from two or more sources. Achieving uniformity in terms of data quality is challenging, especially considering that many data issues are unpredictable and cannot be detected until a first occurrence of the issue. With that, many data quality control activities within RIs require a manual, human-in-the-loop element, making it an expensive activity. Our motivating example is the FLUXNET2015 dataset - a collection of ecosystem-level carbon, water, and energy fluxes between land and atmosphere from over 200 sites around the world, some sites with over 20 years of data. About 90% of the human effort to create the dataset was spent in data quality related activities. Based on this experience, we have been working on solutions to increase the automation of data quality control procedures. Since it is nearly impossible to fully automate all quality related checks, we have been drawing from the experience with techniques used in software development, which shares a few common constraints. In both managing scientific data and writing software, human time is a precious resource; code bases, as Science datasets, can be large, complex, and full of errors; both scientific and software endeavors can be pursued by individuals, but collaborative teams can accomplish a lot more. The lucrative and fast-paced nature of the software industry fueled the creation of methods and tools to increase automation and productivity within these constraints. Issue tracking systems, methods for translating problems into automated tests, powerful version control tools are a few examples. Terrestrial and aquatic ecosystems research relies heavily on many types of observational data. As volumes of data collection increases, ensuring data quality is becoming an unwieldy challenge for RIs. Business as usual approaches to data quality do not work with larger data volumes. We believe RIs can benefit greatly from adapting and imitating this body of theory and practice from software quality into data quality, enabling systematic and reproducible safeguards against errors and mistakes in datasets as much as in software.

Technology for Evolutionary Software Development (Technologies pour le developpement de logiciels evolutifs)

DTIC Science & Technology

2003-06-01

greater detail in the next section, is to achieve these principles. Besides the fact, that these principles illustrate the essence of agile software...like e.g. ADLER, JASMIN , SAMOC or HEROS. In all of these projects the framework for the process model was the Vorgehensmodell (V-Model) of the...practical essence of the solutions to manage projects within the constraints of cost, schedule, functionality and quality and ways to get the

OPEN-SOURCE SOFTWARE IN DENTISTRY: A SYSTEMATIC REVIEW.

PubMed

Chruściel-Nogalska, Małgorzata; Smektała, Tomasz; Tutak, Marcin; Sporniak-Tutak, Katarzyna; Olszewski, Raphael

2017-01-01

Technological development and the need for electronic health records management resulted in the need for a computer with dedicated, commercial software in daily dental practice. The alternative for commercial software may be open-source solutions. Therefore, this study reviewed the current literature on the availability and use of open-source software (OSS) in dentistry. A comprehensive database search was performed on February 1, 2017. Only articles published in peer-reviewed journals with a focus on the use or description of OSS were retrieved. The level of evidence, according to Oxford EBM Centre Levels of Evidence Scale was classified for all studies. Experimental studies underwent additional quality reporting assessment. The screening and evaluation process resulted in twenty-one studies from 1,940 articles found, with 10 of them being experimental studies. None of the articles provided level 1 evidence, and only one study was considered high quality following quality assessment. Twenty-six different OSS programs were described in the included studies of which ten were used for image visualization, five were used for healthcare records management, four were used for educations processes, one was used for remote consultation and simulation, and six were used for general purposes. Our analysis revealed that the dental literature on OSS consists of scarce, incomplete, and methodologically low quality information.

Teaching practice and effect of the curriculum design and simulation courses under the support of professional optical software

NASA Astrophysics Data System (ADS)

Lin, YuanFang; Zheng, XiaoDong; Huang, YuJia

2017-08-01

Curriculum design and simulation courses are bridges to connect specialty theories, engineering practice and experimental skills. In order to help students to have the computer aided optical system design ability adapting to developments of the times, a professional optical software-Advanced System of Analysis Program (ASAP) was used in the research teaching of curriculum design and simulation courses. The ASAP tutorials conducting, exercises both complementing and supplementing the lectures, hands-on practice in class, autonomous learning and independent design after class were bridged organically, to guide students "learning while doing, learning by doing", paying more attention to the process instead of the results. Several years of teaching practice of curriculum design and simulation courses shows that, project-based learning meets society needs of training personnel with knowledge, ability and quality. Students have obtained not only skills of using professional software, but also skills of finding and proposing questions in engineering practice, the scientific method of analyzing and solving questions with specialty knowledge, in addition, autonomous learning ability, teamwork spirit and innovation consciousness, still scientific attitude of facing failure and scientific spirit of admitting deficiency in the process of independent design and exploration.

[Computer-based quality-of-life monitoring in head and neck cancer patients: a validation model using the EORTC-QLQ C30 and EORTC- H&N35 Portuguese PC-software version].

PubMed

Silveira, Augusta; Gonçalves, Joaquim; Sequeira, Teresa; Ribeiro, Cláudia; Lopes, Carlos; Monteiro, Eurico; Pimentel, Francisco Luís

2011-12-01

Quality of Life is a distinct and important emerging health focus, guiding practice and research. The routine Quality of Life evaluation in clinical, economic, and epidemiological studies and in medical practice promises a better Quality of Life and improved health resources optimization. The use of information technology and a Knowledge Management System related to Quality of Life assessment is essential to routine clinical evaluation and can define a clinical research methodology that is more efficient and better organized. In this paper, a Validation Model using the Quality of Life informatics platform is presented. Portuguese PC-software using European Organization for Research and Treatment of Cancer questionnaires (EORTC-QLQ C30 and EORTC-H&N35), is compared with the original paper-pen approach in the Quality of Life monitoring of head and neck cancer patients. The Quality of Life informatics platform was designed specifically for this study with a simple and intuitive interface that ensures confidentiality while providing Quality of Life evaluation for all cancer patients. For the Validation Model, the sample selection was random. Fifty-four head and neck cancer patients completed 216 questionnaires (108 using the informatics platform and 108 using the original paper-pen approach) with a one-hour interval in between. Patient preferences and computer experience were registered. Quality of Life informatics platform showed high usability as a user-friendly tool. This informatics platform allows data collection by auto-reply, database construction, and statistical data analysis and also facilitates the automatic listing of the questionnaires. When comparing the approaches (Wilcoxon test by item, percentile distribution and Cronbach's alpha), most of the responses were similar. Most of the patients (53.6%) reported a preference for the software version. The Quality of Life informatics platform has revealed to be a powerful and effective tool, allowing a real time analysis of Quality of Life data. Computer-based quality-of-life monitoring in head and neck cancer patients is essential to get clinically meaningful data that can support clinical decisions, identify potential needs, and support a stepped-care model. This represents a fundamental step for routine Quality of Life implementation in the Oncology Portuguese Institute (IPO-Porto), ORL and C&P department services clinical practice. Finally, we propose a diagram of diagnostic performance, considerating the generalized lack of mycological diagnosis in Portugal, which emphasizes the need for a careful history, focused on quantifying the latency period.

Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming.

PubMed

Kashiouris, Markos G; Miljković, Miloš; Herasevich, Vitaly; Goldberg, Andrew D; Albrecht, Charles

2015-01-01

There is a gap between the abilities and the everyday applications of Computerized Decision Support Systems (CDSSs). This gap is further exacerbated by the different 'worlds' between the software designers and the clinician end-users. Software programmers often lack clinical experience whereas practicing physicians lack skills in design and engineering. Our primary objective was to evaluate the performance of Metabolic Irregularities Narrowing down Device (MIND) intelligent medical calculator and differential diagnosis software through end-user surveys and discuss the roles of CDSS in the inpatient setting. A tertiary care, teaching community hospital. Thirty-one responders answered the survey. Responders consisted of medical students, 24%; attending physicians, 16%, and residents, 60%. About 62.5% of the responders reported that MIND has the ability to potentially improve the quality of care, 20.8% were sure that MIND improves the quality of care, and only 4.2% of the responders felt that it does not improve the quality of care. Ninety-six percent of the responders felt that MIND definitely serves or has the potential to serve as a useful tool for medical students, and only 4% of the responders felt otherwise. Thirty-five percent of the responders rated the differential diagnosis list as excellent, 56% as good, 4% as fair, and 4% as poor. MIND is a suggesting, interpreting, alerting, and diagnosing CDSS with good performance and end-user satisfaction. In the era of the electronic medical record, the ongoing development of efficient CDSS platforms should be carefully considered by practicing physicians and institutions.

Investigation of near-surface chemical, physical and mechanical properties of silicon carbide crystals and fibers modified by ion implantation

NASA Astrophysics Data System (ADS)

Spitznagel, J. A.; Wood, Susan

1988-08-01

The Software Engineering institute is a federally funded research and development center sponsored by the Department of Defense (DOD). It was chartered by the Undersecretary of Defense for Research and Engineering on June 15, 1984. The SEI was established and is operated by Carnegie Mellon University (CUM) under contract F19628-C-0003, which was competitively awarded on December 28, 1984, by the Air Force Electronic Systems Division. The mission of the SEI is to provide the means to bring the ablest minds and the most effective technology to bear on the rapid improvement of the quality of operational software in mission-critical computer systems; to accelerate the reduction to practice of modern software engineering techniques and methods; to promulgate the use of modern techniques and methods throughout the mission-critical systems community; and to establish standards of excellence for the practice of software engineering. This report provides a summary of the programs and projects, staff, facilities, and service accomplishments of the Software Engineering Institute during 1987.

Scientific Software - the role of best practices and recommendations

NASA Astrophysics Data System (ADS)

Fritzsch, Bernadette; Bernstein, Erik; Castell, Wolfgang zu; Diesmann, Markus; Haas, Holger; Hammitzsch, Martin; Konrad, Uwe; Lähnemann, David; McHardy, Alice; Pampel, Heinz; Scheliga, Kaja; Schreiber, Andreas; Steglich, Dirk

2017-04-01

In Geosciences - like in most other communities - scientific work strongly depends on software. For big data analysis, existing (closed or open source) program packages are often mixed with newly developed codes. Different versions of software components and varying configurations can influence the result of data analysis. This often makes reproducibility of results and reuse of codes very difficult. Policies for publication and documentation of used and newly developed software, along with best practices, can help tackle this problem. Within the Helmholtz Association a Task Group "Access to and Re-use of scientific software" was implemented by the Open Science Working Group in 2016. The aim of the Task Group is to foster the discussion about scientific software in the Open Science context and to formulate recommendations for the production and publication of scientific software, ensuring open access to it. As a first step, a workshop gathered interested scientists from institutions across Germany. The workshop brought together various existing initiatives from different scientific communities to analyse current problems, share established best practices and come up with possible solutions. The subjects in the working groups covered a broad range of themes, including technical infrastructures, standards and quality assurance, citation of software and reproducibility. Initial recommendations are presented and discussed in the talk. They are the foundation for further discussions in the Helmholtz Association and the Priority Initiative "Digital Information" of the Alliance of Science Organisations in Germany. The talk aims to inform about the activities and to link with other initiatives on the national or international level.

General guidelines for biomedical software development

PubMed Central

Silva, Luis Bastiao; Jimenez, Rafael C.; Blomberg, Niklas; Luis Oliveira, José

2017-01-01

Most bioinformatics tools available today were not written by professional software developers, but by people that wanted to solve their own problems, using computational solutions and spending the minimum time and effort possible, since these were just the means to an end. Consequently, a vast number of software applications are currently available, hindering the task of identifying the utility and quality of each. At the same time, this situation has hindered regular adoption of these tools in clinical practice. Typically, they are not sufficiently developed to be used by most clinical researchers and practitioners. To address these issues, it is necessary to re-think how biomedical applications are built and adopt new strategies that ensure quality, efficiency, robustness, correctness and reusability of software components. We also need to engage end-users during the development process to ensure that applications fit their needs. In this review, we present a set of guidelines to support biomedical software development, with an explanation of how they can be implemented and what kind of open-source tools can be used for each specific topic. PMID:28443186

Interventions to Improve the Quality of Outpatient Specialty Referral Requests: A Systematic Review.

PubMed

Hendrickson, Chase D; Lacourciere, Stacy L; Zanetti, Cole A; Donaldson, Patrick C; Larson, Robin J

2016-09-01

Requests for outpatient specialty consultations occur frequently but often are of poor quality because of incompleteness. The authors searched bibliographic databases, trial registries, and references during October 2014 for studies evaluating interventions to improve the quality of outpatient specialty referral requests compared to usual practice. Two reviewers independently extracted data and assessed quality. Findings were qualitatively summarized for completeness of information relayed in a referral request within naturally emerging intervention categories. Of 3495 articles screened, 11 were eligible. All 3 studies evaluating software-based interventions found statistically significant improvements. Among 4 studies evaluating template/pro forma interventions, completeness was uniformly improved but with variable or unreported statistical significance. Of 4 studies evaluating educational interventions, 2 favored the intervention and 2 found no difference. One study evaluating referral management was negative. Current evidence for improving referral request quality is strongest for software-based interventions and templates, although methodological quality varied and findings may be setting specific. © The Author(s) 2015.

Predicting Forearm Physical Exposures During Computer Work Using Self-Reports, Software-Recorded Computer Usage Patterns, and Anthropometric and Workstation Measurements.

PubMed

Huysmans, Maaike A; Eijckelhof, Belinda H W; Garza, Jennifer L Bruno; Coenen, Pieter; Blatter, Birgitte M; Johnson, Peter W; van Dieën, Jaap H; van der Beek, Allard J; Dennerlein, Jack T

2017-12-15

Alternative techniques to assess physical exposures, such as prediction models, could facilitate more efficient epidemiological assessments in future large cohort studies examining physical exposures in relation to work-related musculoskeletal symptoms. The aim of this study was to evaluate two types of models that predict arm-wrist-hand physical exposures (i.e. muscle activity, wrist postures and kinematics, and keyboard and mouse forces) during computer use, which only differed with respect to the candidate predicting variables; (i) a full set of predicting variables, including self-reported factors, software-recorded computer usage patterns, and worksite measurements of anthropometrics and workstation set-up (full models); and (ii) a practical set of predicting variables, only including the self-reported factors and software-recorded computer usage patterns, that are relatively easy to assess (practical models). Prediction models were build using data from a field study among 117 office workers who were symptom-free at the time of measurement. Arm-wrist-hand physical exposures were measured for approximately two hours while workers performed their own computer work. Each worker's anthropometry and workstation set-up were measured by an experimenter, computer usage patterns were recorded using software and self-reported factors (including individual factors, job characteristics, computer work behaviours, psychosocial factors, workstation set-up characteristics, and leisure-time activities) were collected by an online questionnaire. We determined the predictive quality of the models in terms of R2 and root mean squared (RMS) values and exposure classification agreement to low-, medium-, and high-exposure categories (in the practical model only). The full models had R2 values that ranged from 0.16 to 0.80, whereas for the practical models values ranged from 0.05 to 0.43. Interquartile ranges were not that different for the two models, indicating that only for some physical exposures the full models performed better. Relative RMS errors ranged between 5% and 19% for the full models, and between 10% and 19% for the practical model. When the predicted physical exposures were classified into low, medium, and high, classification agreement ranged from 26% to 71%. The full prediction models, based on self-reported factors, software-recorded computer usage patterns, and additional measurements of anthropometrics and workstation set-up, show a better predictive quality as compared to the practical models based on self-reported factors and recorded computer usage patterns only. However, predictive quality varied largely across different arm-wrist-hand exposure parameters. Future exploration of the relation between predicted physical exposure and symptoms is therefore only recommended for physical exposures that can be reasonably well predicted. © The Author 2017. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.

[Development of integrated support software for clinical nutrition].

PubMed

Siquier Homar, Pedro; Pinteño Blanco, Manel; Calleja Hernández, Miguel Ángel; Fernández Cortés, Francisco; Martínez Sotelo, Jesús

2015-09-01

to develop an integrated computer software application for specialized nutritional support, integrated in the electronic clinical record, which detects automatically and early those undernourished patients or at risk of developing undernourishment, determining points of opportunity for improvement and evaluation of the results. the quality standards published by the Nutrition Work Group of the Spanish Society of Hospital Pharmacy (SEFH) and the recommendations by the Pharmacy Group of the Spanish Society of Parenteral and Enteral Nutrition (SENPE) have been taken into account. According to these quality standards, the nutritional support has to include the following healthcare stages or sub-processes: nutritional screening, nutritional assessment, plan for nutritional care, prescription, preparation and administration. this software allows to conduct, in an automated way, a specific nutritional assessment for those patients with nutritional risk, implementing, if necessary, a nutritional treatment plan, conducting follow-up and traceability of outcomes derived from the implementation of improvement actions, and quantifying to what extent our practice is close to the established standard. this software allows to standardize the specialized nutritional support from a multidisciplinary point of view, introducing the concept of quality control per processes, and including patient as the main customer. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

The maturing of the quality improvement paradigm in the SEL

NASA Technical Reports Server (NTRS)

Basili, Victor R.

1993-01-01

The Software Engineering Laboratory uses a paradigm for improving the software process and product, called the quality improvement paradigm. This paradigm has evolved over the past 18 years, along with our software development processes and product. Since 1976, when we first began the SEL, we have learned a great deal about improving the software process and product, making a great many mistakes along the way. Quality improvement paradigm, as it is currently defined, can be broken up into six steps: characterize the current project and its environment with respect to the appropriate models and metrics; set the quantifiable goals for successful project performance and improvement; choose the appropriate process model and supporting methods and tools for this project; execute the processes, construct the products, and collect, validate, and analyze the data to provide real-time feedback for corrective action; analyze the data to evaluate the current practices, determine problems, record findings, and make recommendations for future project improvements; and package the experience gained in the form of updated and refined models and other forms of structured knowledge gained from this and prior projects and save it in an experience base to be reused on future projects.

MoniQA: a general approach to monitor quality assurance

NASA Astrophysics Data System (ADS)

Jacobs, J.; Deprez, T.; Marchal, G.; Bosmans, H.

2006-03-01

MoniQA ("Monitor Quality Assurance") is a new, non-commercial, independent quality assurance software application developed in our medical physics team. It is a complete Java TM - based modular environment for the evaluation of radiological viewing devices and it thus fits in the global quality assurance network of our (film less) radiology department. The purpose of the software tool is to guide the medical physicist through an acceptance protocol and the radiologist through a constancy check protocol by presentation of the necessary test patterns and by automated data collection. Data are then sent to a central management system for further analysis. At the moment more than 55 patterns have been implemented, which can be grouped in schemes to implement protocols (i.e. AAPMtg18, DIN and EUREF). Some test patterns are dynamically created and 'drawn' on the viewing device with random parameters as is the case in a recently proposed new pattern for constancy testing. The software is installed on 35 diagnostic stations (70 monitors) in a film less radiology department. Learning time was very limited. A constancy check -with the new pattern that assesses luminance decrease, resolution problems and geometric distortion- takes only 2 minutes and 28 seconds per monitor. The modular approach of the software allows the evaluation of new or emerging test patterns. We will report on the software and its usability: practicality of the constancy check tests in our hospital and on the results from acceptance tests of viewing stations for digital mammography.

A toolbox for developing bioinformatics software

PubMed Central

Potrzebowski, Wojciech; Puton, Tomasz; Rother, Magdalena; Wywial, Ewa; Bujnicki, Janusz M.

2012-01-01

Creating useful software is a major activity of many scientists, including bioinformaticians. Nevertheless, software development in an academic setting is often unsystematic, which can lead to problems associated with maintenance and long-term availibility. Unfortunately, well-documented software development methodology is difficult to adopt, and technical measures that directly improve bioinformatic programming have not been described comprehensively. We have examined 22 software projects and have identified a set of practices for software development in an academic environment. We found them useful to plan a project, support the involvement of experts (e.g. experimentalists), and to promote higher quality and maintainability of the resulting programs. This article describes 12 techniques that facilitate a quick start into software engineering. We describe 3 of the 22 projects in detail and give many examples to illustrate the usage of particular techniques. We expect this toolbox to be useful for many bioinformatics programming projects and to the training of scientific programmers. PMID:21803787

A Core Plug and Play Architecture for Reusable Flight Software Systems

NASA Technical Reports Server (NTRS)

Wilmot, Jonathan

2006-01-01

The Flight Software Branch, at Goddard Space Flight Center (GSFC), has been working on a run-time approach to facilitate a formal software reuse process. The reuse process is designed to enable rapid development and integration of high-quality software systems and to more accurately predict development costs and schedule. Previous reuse practices have been somewhat successful when the same teams are moved from project to project. But this typically requires taking the software system in an all-or-nothing approach where useful components cannot be easily extracted from the whole. As a result, the system is less flexible and scalable with limited applicability to new projects. This paper will focus on the rationale behind, and implementation of the run-time executive. This executive is the core for the component-based flight software commonality and reuse process adopted at Goddard.

Serious Gaming in Medical Education: A Proposed Structured Framework for Game Development.

PubMed

Olszewski, Aleksandra E; Wolbrink, Traci A

2017-08-01

Serious games are increasingly being used for medical education. However, the design and development of serious games for the education of health professionals is highly variable, and very few articles report the development process used for game development. There are many established processes for software development that can improve and streamline development, and incorporating the best practices from educational pedagogy and software development may enhance teamwork and communication, decrease development costs, and improve the quality of serious games. In this article, we review and summarize the literature for serious game development for medical education, and combining the best practices, we propose a structured three-phase iterative development framework for serious game development.

Improving antimicrobial prescribing in Irish primary care through electronic data collection and surveillance: a feasibility study.

PubMed

Galvin, Sandra; Callan, Aoife; Cormican, Martin; Duane, Sinead; Bennett, Kathleen; Murphy, Andrew W; Vellinga, Akke

2015-07-02

The increase in the spread of antimicrobial resistance (AMR) in bacterial pathogens and limited availability of new antimicrobials places immense pressure on general practitioners (GPs) to prescribe appropriately. Currently, electronic antimicrobial prescribing data is not routinely collected from GPs in Ireland for surveillance purposes to assess regional specific fluctuations or trends in antimicrobial prescribing. The current study aimed to address this issue by assessing the feasibility of remotely extracting antimicrobial prescribing data from primary care practices in Ireland, for the purpose of assessing prescribing quality using the European Surveillance of Antimicrobial Consumption (ESAC) drug specific quality indicators. Participating practices (n = 30) uploaded data to the Irish Primary Care Research Network (IPCRN). The IPCRN data extraction facility is integrated within the practice patient management software system and permitted the extraction of anonymised patient prescriptions for a one year period, from October 2012 to October 2013. The quality of antimicrobial prescribing was evaluated using the twelve ESAC drug specific quality indicators using the defined daily dose (DDD) per 1,000 inhabitants per day (DID) methodology. National and European prescribing surveillance data (based on total pharmacy sales) was obtained for a comparative analysis. Antimicrobial prescriptions (n = 57,079) for 27,043 patients were obtained from the thirty study practices for a one year period. On average, study practices prescribed a greater proportion of quinolones (37 % increase), in summer compared with winter months, a variation which was not observed in national and European data. In comparison with national data, study practices prescribed higher proportions of β-lactamase-sensitive penicillins (4.98 % vs. 4.3 %) and a greater use of broad spectrum compared to narrow-spectrum antimicrobials (ratio = 9.98 vs. 6.26) was observed. Study practices exceeded the European mean for prescribing combinations of penicillins, including β-lactamase inhibitors. This research demonstrates the feasibility and potential use of direct data extraction of anonymised practice data directly through the patient management software system. The data extraction methods described can facilitate the provision of routinely collected data for sustained and inclusive surveillance of antimicrobial prescribing. These comparisons may initiate further improvements in antimicrobial prescribing practices by identifying potential areas for improvement.

Voice recognition software for clinical use.

PubMed

Korn, K

1998-11-01

The current generation voice recognition products truly offer the promise of voice recognition systems, that are financially and operationally acceptable for use in a health care facility. Although the initial capital outlay for the purchase of such equipment may be substantial, the long-term benefit is felt to outweigh the expense. The ability to utilize computer equipment for educational purposes and information management alone helps to rationalize the cost. In addition, it is important to remember that the Internet has become a substantial source of information which provides another functional use for this equipment. Although one can readily see the implication for such a program in clinical practice, other uses for the program should not be overlooked. Uses far beyond the writing of clinic notes and correspondence can be easily envisioned. Utilization of voice recognition software offers clinical practices the ability to produce quality printed records in a timely and cost-effective manner. After learning procedures for the selected product and appropriately formatting word processing software and printers, printed progress notes should be able to be produced in less time than traditional dictation and transcription methods. Although certain procedures and practices may need to be altered, or may preclude optimal utilization of this type of system, many advantages are apparent. It is recommended that facilities consider utilization of Voice Recognition products such as Dragon Systems Naturally Speaking Software, or at least consider a trial of this method with one of the limited-feature products, if current dictation practices are unsatisfactory or excessively costly. Free downloadable trial software or single user software can provide a reduced-cost method for trial evaluation of such products if a major commitment is not felt to be desired. A list of voice recognition software manufacturer web sites may be accessed through the following: http://www.dragonsys.com/ http://www.software.ibm/com/is/voicetype/ http://www.lhs.com/

A systematic literature review of open source software quality assessment models.

PubMed

Adewumi, Adewole; Misra, Sanjay; Omoregbe, Nicholas; Crawford, Broderick; Soto, Ricardo

2016-01-01

Many open source software (OSS) quality assessment models are proposed and available in the literature. However, there is little or no adoption of these models in practice. In order to guide the formulation of newer models so they can be acceptable by practitioners, there is need for clear discrimination of the existing models based on their specific properties. Based on this, the aim of this study is to perform a systematic literature review to investigate the properties of the existing OSS quality assessment models by classifying them with respect to their quality characteristics, the methodology they use for assessment, and their domain of application so as to guide the formulation and development of newer models. Searches in IEEE Xplore, ACM, Science Direct, Springer and Google Search is performed so as to retrieve all relevant primary studies in this regard. Journal and conference papers between the year 2003 and 2015 were considered since the first known OSS quality model emerged in 2003. A total of 19 OSS quality assessment model papers were selected. To select these models we have developed assessment criteria to evaluate the quality of the existing studies. Quality assessment models are classified into five categories based on the quality characteristics they possess namely: single-attribute, rounded category, community-only attribute, non-community attribute as well as the non-quality in use models. Our study reflects that software selection based on hierarchical structures is found to be the most popular selection method in the existing OSS quality assessment models. Furthermore, we found that majority (47%) of the existing models do not specify any domain of application. In conclusion, our study will be a valuable contribution to the community and helps the quality assessment model developers in formulating newer models and also to the practitioners (software evaluators) in selecting suitable OSS in the midst of alternatives.

Getting the most out of your practice--the Practice Health Atlas and business modelling opportunities.

PubMed

Del Fante, Peter; Allan, Don; Babidge, Elizabeth

2006-01-01

The Practice Health Atlas (PHA) is a decision support tool for general practice, designed by the Adelaide Western Division of General Practice (AWDGP). This article describes the features of the PHA and its potential role in enhancing health care. In developing the PHA, the AWDGP utilises a range of software tools and consults with a practice to understand its clinical data management approach. The PHA comprises three sections: epidemiology, business and clinical modelling systems, access to services. The objectives include developing a professional culture around quality health data and synthesis of aggregated de-identified general practice data at both practice and divisional level (and beyond) to assist with local health needs assessment, planning, and funding. Evaluation occurs through group feedback sessions and from the general practitioners and staff. It has demonstrated its potential to fulfill the objectives in outcome areas such as data quality and management, team based care, pro-active practice population health care, and business systems development, thereby contributing to improved patient health outcomes.

Experiences in improving the state of the practice in verification and validation of knowledge-based systems

NASA Technical Reports Server (NTRS)

Culbert, Chris; French, Scott W.; Hamilton, David

1994-01-01

Knowledge-based systems (KBS's) are in general use in a wide variety of domains, both commercial and government. As reliance on these types of systems grows, the need to assess their quality and validity reaches critical importance. As with any software, the reliability of a KBS can be directly attributed to the application of disciplined programming and testing practices throughout the development life-cycle. However, there are some essential differences between conventional software and KBSs, both in construction and use. The identification of these differences affect the verification and validation (V&V) process and the development of techniques to handle them. The recognition of these differences is the basis of considerable on-going research in this field. For the past three years IBM (Federal Systems Company - Houston) and the Software Technology Branch (STB) of NASA/Johnson Space Center have been working to improve the 'state of the practice' in V&V of Knowledge-based systems. This work was motivated by the need to maintain NASA's ability to produce high quality software while taking advantage of new KBS technology. To date, the primary accomplishment has been the development and teaching of a four-day workshop on KBS V&V. With the hope of improving the impact of these workshops, we also worked directly with NASA KBS projects to employ concepts taught in the workshop. This paper describes two projects that were part of this effort. In addition to describing each project, this paper describes problems encountered and solutions proposed in each case, with particular emphasis on implications for transferring KBS V&V technology beyond the NASA domain.

Exploring Pair Programming Benefits for MIS Majors

ERIC Educational Resources Information Center

Dongo, Tendai; Reed, April H.; O'Hara, Margaret

2016-01-01

Pair programming is a collaborative programming practice that places participants in dyads, working in tandem at one computer to complete programming assignments. Pair programming studies with Computer Science (CS) and Software Engineering (SE) majors have identified benefits such as technical productivity, program/design quality, academic…

Increasing quality and managing complexity in neuroinformatics software development with continuous integration.

PubMed

Zaytsev, Yury V; Morrison, Abigail

2012-01-01

High quality neuroscience research requires accurate, reliable and well maintained neuroinformatics applications. As software projects become larger, offering more functionality and developing a denser web of interdependence between their component parts, we need more sophisticated methods to manage their complexity. If complexity is allowed to get out of hand, either the quality of the software or the speed of development suffer, and in many cases both. To address this issue, here we develop a scalable, low-cost and open source solution for continuous integration (CI), a technique which ensures the quality of changes to the code base during the development procedure, rather than relying on a pre-release integration phase. We demonstrate that a CI-based workflow, due to rapid feedback about code integration problems and tracking of code health measures, enabled substantial increases in productivity for a major neuroinformatics project and additional benefits for three further projects. Beyond the scope of the current study, we identify multiple areas in which CI can be employed to further increase the quality of neuroinformatics projects by improving development practices and incorporating appropriate development tools. Finally, we discuss what measures can be taken to lower the barrier for developers of neuroinformatics applications to adopt this useful technique.

Increasing quality and managing complexity in neuroinformatics software development with continuous integration

PubMed Central

Zaytsev, Yury V.; Morrison, Abigail

2013-01-01

High quality neuroscience research requires accurate, reliable and well maintained neuroinformatics applications. As software projects become larger, offering more functionality and developing a denser web of interdependence between their component parts, we need more sophisticated methods to manage their complexity. If complexity is allowed to get out of hand, either the quality of the software or the speed of development suffer, and in many cases both. To address this issue, here we develop a scalable, low-cost and open source solution for continuous integration (CI), a technique which ensures the quality of changes to the code base during the development procedure, rather than relying on a pre-release integration phase. We demonstrate that a CI-based workflow, due to rapid feedback about code integration problems and tracking of code health measures, enabled substantial increases in productivity for a major neuroinformatics project and additional benefits for three further projects. Beyond the scope of the current study, we identify multiple areas in which CI can be employed to further increase the quality of neuroinformatics projects by improving development practices and incorporating appropriate development tools. Finally, we discuss what measures can be taken to lower the barrier for developers of neuroinformatics applications to adopt this useful technique. PMID:23316158

Adaptation of the quality by design concept in early pharmaceutical development of an intranasal nanosized formulation.

PubMed

Pallagi, Edina; Ambrus, Rita; Szabó-Révész, Piroska; Csóka, Ildikó

2015-08-01

Regulatory science based pharmaceutical development and product manufacturing is highly recommended by the authorities nowadays. The aim of this study was to adapt regulatory science even in the nano-pharmaceutical early development. Authors applied the quality by design (QbD) concept in the early development phase of nano-systems, where the illustration material was meloxicam. The meloxicam nanoparticles produced by co-grinding method for nasal administration were studied according to the QbD policy and the QbD based risk assessment (RA) was performed. The steps were implemented according to the relevant regulatory guidelines (quality target product profile (QTPP) determination, selection of critical quality attributes (CQAs) and critical process parameters (CPPs)) and a special software (Lean QbD Software(®)) was used for the RA, which represents a novelty in this field. The RA was able to predict and identify theoretically the factors (e.g. sample composition, production method parameters, etc.) which have the highest impact on the desired meloxicam-product quality. The results of the practical research justified the theoretical prediction. This method can improve pharmaceutical nano-developments by achieving shorter development time, lower cost, saving human resource efforts and more effective target-orientation. It makes possible focusing the resources on the selected parameters and area during the practical product development. Copyright © 2015 Elsevier B.V. All rights reserved.

Independent verification and validation for Space Shuttle flight software

NASA Technical Reports Server (NTRS)

1992-01-01

The Committee for Review of Oversight Mechanisms for Space Shuttle Software was asked by the National Aeronautics and Space Administration's (NASA) Office of Space Flight to determine the need to continue independent verification and validation (IV&V) for Space Shuttle flight software. The Committee found that the current IV&V process is necessary to maintain NASA's stringent safety and quality requirements for man-rated vehicles. Therefore, the Committee does not support NASA's plan to eliminate funding for the IV&V effort in fiscal year 1993. The Committee believes that the Space Shuttle software development process is not adequate without IV&V and that elimination of IV&V as currently practiced will adversely affect the overall quality and safety of the software, both now and in the future. Furthermore, the Committee was told that no organization within NASA has the expertise or the manpower to replace the current IV&V function in a timely fashion, nor will building this expertise elsewhere necessarily reduce cost. Thus, the Committee does not recommend moving IV&V functions to other organizations within NASA unless the current IV&V is maintained for as long as it takes to build comparable expertise in the replacing organization.

Control of surface thermal scratch of strip in tandem cold rolling

NASA Astrophysics Data System (ADS)

Chen, Jinshan; Li, Changsheng

2014-07-01

The thermal scratch seriously affects the surface quality of the cold rolled stainless steel strip. Some researchers have carried out qualitative and theoretical studies in this field. However, there is currently a lack of research on effective forecast and control of thermal scratch defects in practical production, especially in tandem cold rolling. In order to establish precise mathematical model of oil film thickness in deformation zone, the lubrication in cold rolling process of SUS410L stainless steel strip is studied, and major factors affecting oil film thickness are also analyzed. According to the principle of statistics, mathematical model of critical oil film thickness in deformation zone for thermal scratch is built, with fitting and regression analytical method, and then based on temperature comparison method, the criterion for deciding thermal scratch defects is put forward. Storing and calling data through SQL Server 2010, a software on thermal scratch defects control is developed through Microsoft Visual Studio 2008 by MFC technique for stainless steel in tandem cold rolling, and then it is put into practical production. Statistics indicate that the hit rate of thermal scratch is as high as 92.38%, and the occurrence rate of thermal scratch is decreased by 89.13%. Owing to the application of the software, the rolling speed is increased by approximately 9.3%. The software developed provides an effective solution to the problem of thermal scratch defects in tandem cold rolling, and helps to promote products surface quality of stainless steel strips in practical production.

Conjunctive programming: An interactive approach to software system synthesis

NASA Technical Reports Server (NTRS)

Tausworthe, Robert C.

1992-01-01

This report introduces a technique of software documentation called conjunctive programming and discusses its role in the development and maintenance of software systems. The report also describes the conjoin tool, an adjunct to assist practitioners. Aimed at supporting software reuse while conforming with conventional development practices, conjunctive programming is defined as the extraction, integration, and embellishment of pertinent information obtained directly from an existing database of software artifacts, such as specifications, source code, configuration data, link-edit scripts, utility files, and other relevant information, into a product that achieves desired levels of detail, content, and production quality. Conjunctive programs typically include automatically generated tables of contents, indexes, cross references, bibliographic citations, tables, and figures (including graphics and illustrations). This report presents an example of conjunctive programming by documenting the use and implementation of the conjoin program.

Connecting Research and Practice: An Experience Report on Research Infusion with SAVE

NASA Technical Reports Server (NTRS)

Lindvall, Mikael; Stratton, William C.; Sibol, Deane E.; Ackermann, Christopher; Reid, W. Mark; Ganesan, Dharmalingam; McComas, David; Bartholomew, Maureen; Godfrey, Sally

2009-01-01

NASA systems need to be highly dependable to avoid catastrophic mission failures. This calls for rigorous engineering processes including meticulous validation and verification. However, NASA systems are often highly distributed and overwhelmingly complex, making the software portion of these systems challenging to understand, maintain, change, reuse, and test. NASA's systems are long-lived and the software maintenance process typically constitutes 60-80% of the total cost of the entire lifecycle. Thus, in addition to the technical challenges of ensuring high life-time quality of NASA's systems, the post-development phase also presents a significant financial burden. Some of NASA's software-related challenges could potentially be addressed by some of the many powerful technologies that are being developed in software research laboratories. Many of these research technologies seek to facilitate maintenance and evolution by for example architecting, designing and modeling for quality, flexibility, and reuse. Other technologies attempt to detect and remove defects and other quality issues by various forms of automated defect detection, architecture analysis, and various forms of sophisticated simulation and testing. However promising, most such research technologies nevertheless do not make the transition from the research lab to the software lab. One reason the transition from research to practice seldom occurs is that research infusion and technology transfer is difficult. For example, factors related to the technology are sometimes overshadowed by other types of factors such as reluctance to change and therefore prohibits the technology from sticking. Successful infusion might also take very long time. One famous study showed that the discrepancy between the conception of the idea and its practical use was 18 years plus or minus three. Nevertheless, infusing new technology is possible. We have found that it takes special circumstances for such research infusion to succeed: 1) there must be evidence that the technology works in the practitioner's particular domain, 2) there must be a potential for great improvements and enhanced competitive edge for the practitioner, 3) the practitioner has to have strong individual curiosity and continuous interest in trying out new technologies, 4) the practitioner has to have support on multiple levels (i.e. from the researchers, from management, from sponsors etc), and 5) to remain infused, the new technology has to be integrated into the practitioner's processes so that it becomes a natural part of the daily work. NASA IV&V's Research Infusion initiative sponsored by NASA's Office of Safety & Mission Assurance (OSMA) through the Software Assurance Research Program (SARP), strives to overcome some of the problems related to research infusion.

Can clinical governance deliver quality improvement in Australian general practice and primary care? A systematic review of the evidence.

PubMed

Phillips, Christine B; Pearce, Christopher M; Hall, Sally; Travaglia, Joanne; de Lusignan, Simon; Love, Tom; Kljakovic, Marjan

2010-11-15

To review the literature on different models of clinical governance and to explore their relevance to Australian primary health care, and their potential contributions on quality and safety. 25 electronic databases, scanning reference lists of articles and consultation with experts in the field. We searched publications in English after 1999, but a search of the German language literature for a specific model type was also undertaken. The grey literature was explored through a hand search of the medical trade press and websites of relevant national and international clearing houses and professional or industry bodies. 11 software packages commonly used in Australian general practice were reviewed for any potential contribution to clinical governance. 19 high-quality studies that assessed outcomes were included. All abstracts were screened by one researcher, and 10% were screened by a second researcher to crosscheck screening quality. Studies were reviewed and coded by four reviewers, with all studies being rated using standard critical appraisal tools such as the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Two researchers reviewed the Australian general practice software. Interviews were conducted with 16 informants representing service, regional primary health care, national and international perspectives. Most evidence supports governance models which use targeted, peer-led feedback on the clinician's own practice. Strategies most used in clinical governance models were audit, performance against indicators, and peer-led reflection on evidence or performance. The evidence base for clinical governance is fragmented, and focuses mainly on process rather than outcomes. Few publications address models that enhance safety, efficiency, sustainability and the economics of primary health care. Locally relevant clinical indicators, the use of computerised medical record systems, regional primary health care organisations that have the capacity to support the uptake of clinical governance at the practice level, and learning from the Aboriginal community-controlled sector will help integrate clinical governance into primary care.

Modernization of software quality assurance

NASA Technical Reports Server (NTRS)

Bhaumik, Gokul

1988-01-01

The customers satisfaction depends not only on functional performance, it also depends on the quality characteristics of the software products. An examination of this quality aspect of software products will provide a clear, well defined framework for quality assurance functions, which improve the life-cycle activities of software development. Software developers must be aware of the following aspects which have been expressed by many quality experts: quality cannot be added on; the level of quality built into a program is a function of the quality attributes employed during the development process; and finally, quality must be managed. These concepts have guided our development of the following definition for a Software Quality Assurance function: Software Quality Assurance is a formal, planned approach of actions designed to evaluate the degree of an identifiable set of quality attributes present in all software systems and their products. This paper is an explanation of how this definition was developed and how it is used.

Software archeology: a case study in software quality assurance and design

DOE Office of Scientific and Technical Information (OSTI.GOV)

Macdonald, John M; Lloyd, Jane A; Turner, Cameron J

2009-01-01

Ideally, quality is designed into software, just as quality is designed into hardware. However, when dealing with legacy systems, demonstrating that the software meets required quality standards may be difficult to achieve. As the need to demonstrate the quality of existing software was recognized at Los Alamos National Laboratory (LANL), an effort was initiated to uncover and demonstrate that legacy software met the required quality standards. This effort led to the development of a reverse engineering approach referred to as software archaeology. This paper documents the software archaeology approaches used at LANL to document legacy software systems. A case studymore » for the Robotic Integrated Packaging System (RIPS) software is included.« less

Key Questions in Building Defect Prediction Models in Practice

NASA Astrophysics Data System (ADS)

Ramler, Rudolf; Wolfmaier, Klaus; Stauder, Erwin; Kossak, Felix; Natschläger, Thomas

The information about which modules of a future version of a software system are defect-prone is a valuable planning aid for quality managers and testers. Defect prediction promises to indicate these defect-prone modules. However, constructing effective defect prediction models in an industrial setting involves a number of key questions. In this paper we discuss ten key questions identified in context of establishing defect prediction in a large software development project. Seven consecutive versions of the software system have been used to construct and validate defect prediction models for system test planning. Furthermore, the paper presents initial empirical results from the studied project and, by this means, contributes answers to the identified questions.

Predicting Software Suitability Using a Bayesian Belief Network

NASA Technical Reports Server (NTRS)

Beaver, Justin M.; Schiavone, Guy A.; Berrios, Joseph S.

2005-01-01

The ability to reliably predict the end quality of software under development presents a significant advantage for a development team. It provides an opportunity to address high risk components earlier in the development life cycle, when their impact is minimized. This research proposes a model that captures the evolution of the quality of a software product, and provides reliable forecasts of the end quality of the software being developed in terms of product suitability. Development team skill, software process maturity, and software problem complexity are hypothesized as driving factors of software product quality. The cause-effect relationships between these factors and the elements of software suitability are modeled using Bayesian Belief Networks, a machine learning method. This research presents a Bayesian Network for software quality, and the techniques used to quantify the factors that influence and represent software quality. The developed model is found to be effective in predicting the end product quality of small-scale software development efforts.

Software for Analyzing Laminar-to-Turbulent Flow Transitions

NASA Technical Reports Server (NTRS)

Chang, Chau-Lyan

2004-01-01

Software assurance is the planned and systematic set of activities that ensures that software processes and products conform to requirements, standards, and procedures. Examples of such activities are the following: code inspections, unit tests, design reviews, performance analyses, construction of traceability matrices, etc. In practice, software development projects have only limited resources (e.g., schedule, budget, and availability of personnel) to cover the entire development effort, of which assurance is but a part. Projects must therefore select judiciously from among the possible assurance activities. At its heart, this can be viewed as an optimization problem; namely, to determine the allocation of limited resources (time, money, and personnel) to minimize risk or, alternatively, to minimize the resources needed to reduce risk to an acceptable level. The end result of the work reported here is a means to optimize quality-assurance processes used in developing software. This is achieved by combining two prior programs in an innovative manner

Electronic health records in four community physician practices: impact on quality and cost of care.

PubMed

Welch, W Pete; Bazarko, Dawn; Ritten, Kimberly; Burgess, Yo; Harmon, Robert; Sandy, Lewis G

2007-01-01

To assess the impact of the electronic health record (EHR) on cost (i.e., payments to providers) and process measures of quality of care. Retrospective before-after-study-control. From the database of a large managed care organization (MCO), we obtained the claims of patients from four community physician practices that implemented the EHR and from about 50 comparison practices without the EHR in the same counties. The diverse patient and practice populations were chosen to be a sample more representative of typical private practices than has previously been studied. For four chronic conditions, we used commercially-available software to analyze cost per episode over a year and the rate of adherence to clinical guidelines as a measure of quality. The implementation of the EHR had a modest positive impact on the quality measure of guideline adherence for hypertension and hyperlipidemia, but no significant impact for diabetes and coronary artery disease. No measurable impact on the short-term cost per episode was found. Discussions with the study practices revealed that the timing and comprehensiveness of EHR implementation varied across practices, creating an intervention variable that was heterogeneous. Guideline adherence increased across practices without EHRs and slightly faster in practices with EHRs. Measuring the impact of EHRs on cost per episode was challenging, because of the difficulty of completely capturing the long-term episodic costs of a chronic condition. Few practices associated with the study MCO had implemented EHRs in any form, much less utilizing standardized protocols.

Software Quality Perceptions of Stakeholders Involved in the Software Development Process

ERIC Educational Resources Information Center

Padmanabhan, Priya

2013-01-01

Software quality is one of the primary determinants of project management success. Stakeholders involved in software development widely agree that quality is important (Barney and Wohlin 2009). However, they may differ on what constitutes software quality, and which of its attributes are more important than others. Although, software quality…

Knowledge work productivity effect on quality of knowledge work in software development process in SME

NASA Astrophysics Data System (ADS)

Yusoff, Mohd Zairol; Mahmuddin, Massudi; Ahmad, Mazida

2016-08-01

Knowledge and skill are necessary to develop the capability of knowledge workers. However, there is very little understanding of what the necessary knowledge work (KW) is, and how they influence the quality of knowledge work or knowledge work productivity (KWP) in software development process, including that in small and medium-sized (SME) enterprise. The SME constitutes a major part of the economy and it has been relatively unsuccessful in developing KWP. Accordingly, this paper seeks to explore the influencing dimensions of KWP that effect on the quality of KW in SME environment. First, based on the analysis of the existing literatures, the key characteristics of KW productivity are defined. Second, the conceptual model is proposed, which explores the dimensions of the KWP and its quality. This study analyses data collected from 150 respondents (based on [1], who involve in SME in Malaysia and validates the models by using structural equation modeling (SEM). The results provide an analysis of the effect of KWP on the quality of KW and business success, and have a significant relevance for both research and practice in the SME

A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects.

PubMed

Henschel, Volkmar; Engel, Jutta; Hölzel, Dieter; Mansmann, Ulrich

2009-02-10

Multivariate analysis of interval censored event data based on classical likelihood methods is notoriously cumbersome. Likelihood inference for models which additionally include random effects are not available at all. Developed algorithms bear problems for practical users like: matrix inversion, slow convergence, no assessment of statistical uncertainty. MCMC procedures combined with imputation are used to implement hierarchical models for interval censored data within a Bayesian framework. Two examples from clinical practice demonstrate the handling of clustered interval censored event times as well as multilayer random effects for inter-institutional quality assessment. The software developed is called survBayes and is freely available at CRAN. The proposed software supports the solution of complex analyses in many fields of clinical epidemiology as well as health services research.

[Artificial intelligence--the knowledge base applied to nephrology].

PubMed

Sancipriano, G P

2005-01-01

The idea that efficacy efficiency, and quality in medicine could not be reached without sorting the huge knowledge of medical and nursing science is very common. Engineers and computer scientists have developed medical software with great prospects for success, but currently these software applications are not so useful in clinical practice. The medical doctor and the trained nurse live the 'information age' in many daily activities, but the main benefits are not so widespread in working activities. Artificial intelligence and, particularly, export systems charm health staff because of their potential. The first part of this paper summarizes the characteristics of 'weak artificial intelligence' and of expert systems important in clinical practice. The second part discusses medical doctors' requirements and the current nephrologic knowledge bases available for artificial intelligence development.

Software cost/resource modeling: Software quality tradeoff measurement

NASA Technical Reports Server (NTRS)

Lawler, R. W.

1980-01-01

A conceptual framework for treating software quality from a total system perspective is developed. Examples are given to show how system quality objectives may be allocated to hardware and software; to illustrate trades among quality factors, both hardware and software, to achieve system performance objectives; and to illustrate the impact of certain design choices on software functionality.

Selecting ICT Based Solutions for Quality Learning and Sustainable Practice

ERIC Educational Resources Information Center

Gosper, Maree; Woo, Karen; Muir, Helen; Dudley, Christine; Nakazawa, Kayo

2007-01-01

This paper reports on a project involving software selection in the context of a curriculum redesign of a university level Japanese language program. The project aimed to improve learning outcomes, increase flexibility in student access, and increase flexibility in approaches to teaching and learning, through the use of a variety of software…

RZWQM predicted effects of soil N testing with incorporated automatic parameter optimization software (PEST) and weather input quality control

USDA-ARS?s Scientific Manuscript database

Among the most promising tools available for determining precise N requirements are soil mineral N tests. Field tests that evaluated this practice, however, have been conducted under only limited weather and soil conditions. Previous research has shown that using agricultural systems models such as ...

Building an efficient supply chain.

PubMed

Scalise, Dagmara

2005-08-01

Realizing at last that supply chain management can produce efficiencies and save costs, hospitals are beginning to adopt practices from other industries, such as the concept of extended supply chains, to improve product flow. They're also investing in enterprise planning resource software, radio frequency identification and other technologies, using quality data to drive standardization and streamlining processes.

Software Acquisition: Evolution, Total Quality Management, and Applications to the Army Tactical Missile System

DTIC Science & Technology

1992-06-01

presents the concept of software Total Quality Management (TQM) which focuses on the entire process of software acquisition, as a partial solution to...software TQM can be applied to software acquisition. Software Development, Software Acquisition, Total Quality management (TQM), Army Tactical Missile

The Effects of Development Team Skill on Software Product Quality

NASA Technical Reports Server (NTRS)

Beaver, Justin M.; Schiavone, Guy A.

2006-01-01

This paper provides an analysis of the effect of the skill/experience of the software development team on the quality of the final software product. A method for the assessment of software development team skill and experience is proposed, and was derived from a workforce management tool currently in use by the National Aeronautics and Space Administration. Using data from 26 smallscale software development projects, the team skill measures are correlated to 5 software product quality metrics from the ISO/IEC 9126 Software Engineering Product Quality standard. in the analysis of the results, development team skill is found to be a significant factor in the adequacy of the design and implementation. In addition, the results imply that inexperienced software developers are tasked with responsibilities ill-suited to their skill level, and thus have a significant adverse effect on the quality of the software product. Keywords: software quality, development skill, software metrics

TriBITS lifecycle model. Version 1.0, a lean/agile software lifecycle model for research-based computational science and engineering and applied mathematical software.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Willenbring, James M.; Bartlett, Roscoe Ainsworth; Heroux, Michael Allen

2012-01-01

Software lifecycles are becoming an increasingly important issue for computational science and engineering (CSE) software. The process by which a piece of CSE software begins life as a set of research requirements and then matures into a trusted high-quality capability is both commonplace and extremely challenging. Although an implicit lifecycle is obviously being used in any effort, the challenges of this process - respecting the competing needs of research vs. production - cannot be overstated. Here we describe a proposal for a well-defined software lifecycle process based on modern Lean/Agile software engineering principles. What we propose is appropriate for manymore » CSE software projects that are initially heavily focused on research but also are expected to eventually produce usable high-quality capabilities. The model is related to TriBITS, a build, integration and testing system, which serves as a strong foundation for this lifecycle model, and aspects of this lifecycle model are ingrained in the TriBITS system. Here, we advocate three to four phases or maturity levels that address the appropriate handling of many issues associated with the transition from research to production software. The goals of this lifecycle model are to better communicate maturity levels with customers and to help to identify and promote Software Engineering (SE) practices that will help to improve productivity and produce better software. An important collection of software in this domain is Trilinos, which is used as the motivation and the initial target for this lifecycle model. However, many other related and similar CSE (and non-CSE) software projects can also make good use of this lifecycle model, especially those that use the TriBITS system. Indeed this lifecycle process, if followed, will enable large-scale sustainable integration of many complex CSE software efforts across several institutions.« less

[Physical Activity in the Context of Workplace Health Promotion: A Systematic Review on the Effectiveness of Software-Based in Contrast to Personal-Based Interventions].

PubMed

Rudolph, Sabrina; Göring, Arne; Padrok, Dennis

2018-01-03

Sports and physical activity interventions are attracting considerable attention in the context of workplace health promotion. Due to increasing digitalization, especially software-based interventions that promote physical activity are gaining acceptance in practice. Empirical evidence concerning the efficiency of software-based interventions in the context of workplace health promotion is rather low so far. This paper examines the question in what way software-based interventions are more efficient than personal-based interventions in terms of increasing the level of physical activity. A systematic review according to the specifications of the Cochrane Collaboration was conducted. Inclusion criteria and should-have criteria were defined and by means of the should-have criteria the quality score of the studies was calculated. The software-based and personal-based interventions are presented in 2 tables with the categories author, year, country, sample group, aim of the intervention, methods, outcome and study quality. A total of 25 studies are included in the evaluation (12 personal- and 13 software-based interventions). The quality scores of the studies are heterogeneous and range from 3 to 9 points. 5 personal- and 5 software-based studies achieved an increase of physical activity. Other positive effects on health could be presented in the studies, for example, a reduction in blood pressure or body-mass index. A few studies did not show any improvement in health-related parameters. This paper demonstrates that positive effects can be achieved with both intervention types. Software-based interventions show advantages due to the use of new technologies. Use of desktop or mobile applications facilitate organization, communication and data acquisition with fewer resources needed. A schooled trainer, on the other hand, is able to react to specific and varying needs of the employees. This aspect should be considered as very significant. © Georg Thieme Verlag KG Stuttgart · New York.

Towards a comprehensive framework for reuse: A reuse-enabling software evolution environment

NASA Technical Reports Server (NTRS)

Basili, V. R.; Rombach, H. D.

1988-01-01

Reuse of products, processes and knowledge will be the key to enable the software industry to achieve the dramatic improvement in productivity and quality required to satisfy the anticipated growing demand. Although experience shows that certain kinds of reuse can be successful, general success has been elusive. A software life-cycle technology which allows broad and extensive reuse could provide the means to achieving the desired order-of-magnitude improvements. The scope of a comprehensive framework for understanding, planning, evaluating and motivating reuse practices and the necessary research activities is outlined. As a first step towards such a framework, a reuse-enabling software evolution environment model is introduced which provides a basis for the effective recording of experience, the generalization and tailoring of experience, the formalization of experience, and the (re-)use of experience.

A Framework of the Use of Information in Software Testing

ERIC Educational Resources Information Center

Kaveh, Payman

2010-01-01

With the increasing role that software systems play in our daily lives, software quality has become extremely important. Software quality is impacted by the efficiency of the software testing process. There are a growing number of software testing methodologies, models, and initiatives to satisfy the need to improve software quality. The main…

Software Quality Assurance Metrics

NASA Technical Reports Server (NTRS)

McRae, Kalindra A.

2004-01-01

Software Quality Assurance (SQA) is a planned and systematic set of activities that ensures conformance of software life cycle processes and products conform to requirements, standards and procedures. In software development, software quality means meeting requirements and a degree of excellence and refinement of a project or product. Software Quality is a set of attributes of a software product by which its quality is described and evaluated. The set of attributes includes functionality, reliability, usability, efficiency, maintainability, and portability. Software Metrics help us understand the technical process that is used to develop a product. The process is measured to improve it and the product is measured to increase quality throughout the life cycle of software. Software Metrics are measurements of the quality of software. Software is measured to indicate the quality of the product, to assess the productivity of the people who produce the product, to assess the benefits derived from new software engineering methods and tools, to form a baseline for estimation, and to help justify requests for new tools or additional training. Any part of the software development can be measured. If Software Metrics are implemented in software development, it can save time, money, and allow the organization to identify the caused of defects which have the greatest effect on software development. The summer of 2004, I worked with Cynthia Calhoun and Frank Robinson in the Software Assurance/Risk Management department. My task was to research and collect, compile, and analyze SQA Metrics that have been used in other projects that are not currently being used by the SA team and report them to the Software Assurance team to see if any metrics can be implemented in their software assurance life cycle process.

Maintaining Quality and Confidence in Open-Source, Evolving Software: Lessons Learned with PFLOTRAN

NASA Astrophysics Data System (ADS)

Frederick, J. M.; Hammond, G. E.

2017-12-01

Software evolution in an open-source framework poses a major challenge to a geoscientific simulator, but when properly managed, the pay-off can be enormous for both the developers and the community at large. Developers must juggle implementing new scientific process models, adopting increasingly efficient numerical methods and programming paradigms, changing funding sources (or total lack of funding), while also ensuring that legacy code remains functional and reported bugs are fixed in a timely manner. With robust software engineering and a plan for long-term maintenance, a simulator can evolve over time incorporating and leveraging many advances in the computational and domain sciences. In this positive light, what practices in software engineering and code maintenance can be employed within open-source development to maximize the positive aspects of software evolution and community contributions while minimizing its negative side effects? This presentation will discusses steps taken in the development of PFLOTRAN (www.pflotran.org), an open source, massively parallel subsurface simulator for multiphase, multicomponent, and multiscale reactive flow and transport processes in porous media. As PFLOTRAN's user base and development team continues to grow, it has become increasingly important to implement strategies which ensure sustainable software development while maintaining software quality and community confidence. In this presentation, we will share our experiences and "lessons learned" within the context of our open-source development framework and community engagement efforts. Topics discussed will include how we've leveraged both standard software engineering principles, such as coding standards, version control, and automated testing, as well unique advantages of object-oriented design in process model coupling, to ensure software quality and confidence. We will also be prepared to discuss the major challenges faced by most open-source software teams, such as on-boarding new developers or one-time contributions, dealing with competitors or lookie-loos, and other downsides of complete transparency, as well as our approach to community engagement, including a user group email list, hosting short courses and workshops for new users, and maintaining a website. SAND2017-8174A

Training, Quality Assurance Factors, and Tools Investigation: a Work Report and Suggestions on Software Quality Assurance

NASA Technical Reports Server (NTRS)

Lee, Pen-Nan

1991-01-01

Previously, several research tasks have been conducted, some observations were obtained, and several possible suggestions have been contemplated involving software quality assurance engineering at NASA Johnson. These research tasks are briefly described. Also, a brief discussion is given on the role of software quality assurance in software engineering along with some observations and suggestions. A brief discussion on a training program for software quality assurance engineers is provided. A list of assurance factors as well as quality factors are also included. Finally, a process model which can be used for searching and collecting software quality assurance tools is presented.

Teaching and assessment of mathematical principles for software correctness using a reasoning concept inventory

NASA Astrophysics Data System (ADS)

Drachova-Strang, Svetlana V.

As computing becomes ubiquitous, software correctness has a fundamental role in ensuring the safety and security of the systems we build. To design and develop software correctly according to their formal contracts, CS students, the future software practitioners, need to learn a critical set of skills that are necessary and sufficient for reasoning about software correctness. This dissertation presents a systematic approach to both introducing these reasoning skills into the curriculum, and assessing how well the students have learned them. Specifically, it introduces a comprehensive Reasoning Concept Inventory (RCI) that captures the fine details of basic reasoning skills that are ideally learned across the undergraduate curriculum to reason about software correctness, to develop high quality software, and to understand why software works as specified. The RCI forms the basis for developing learning outcomes that help educators to assess the adequacy of current techniques and pinpoint necessary improvements. This dissertation contains results from experimentation and assessment over the past few years in multiple CS courses. The results show that the finer principles of mathematical reasoning of software correctness can be taught effectively and continuously improved with the help of the RCI using suitable teaching practices, and supporting methods and tools.

Communicating quality improvement through a hospital newsletter.

PubMed

Tietz, A; Tabor, R

1995-01-01

Healthcare organizations across the United States are embracing the tenets of continuous quality improvement. The challenge is to disseminate information about this quality activity throughout the organization. A monthly newsletter serves two vital purposes: to share the improvements and to generate more enthusiasm and participation by staff members. This article gives practical suggestions for promoting a monthly newsletter. Preparation of an informative newsletter requires a significant investment of time and effort. However, the positive results of providing facilitywide communications can make it worth the effort. The current availability of relatively inexpensive desktop publishing computer software programs has made the process much easier.

Pragmatic quality metrics for evolutionary software development models

NASA Technical Reports Server (NTRS)

Royce, Walker

1990-01-01

Due to the large number of product, project, and people parameters which impact large custom software development efforts, measurement of software product quality is a complex undertaking. Furthermore, the absolute perspective from which quality is measured (customer satisfaction) is intangible. While we probably can't say what the absolute quality of a software product is, we can determine the relative quality, the adequacy of this quality with respect to pragmatic considerations, and identify good and bad trends during development. While no two software engineers will ever agree on an optimum definition of software quality, they will agree that the most important perspective of software quality is its ease of change. We can call this flexibility, adaptability, or some other vague term, but the critical characteristic of software is that it is soft. The easier the product is to modify, the easier it is to achieve any other software quality perspective. This paper presents objective quality metrics derived from consistent lifecycle perspectives of rework which, when used in concert with an evolutionary development approach, can provide useful insight to produce better quality per unit cost/schedule or to achieve adequate quality more efficiently. The usefulness of these metrics is evaluated by applying them to a large, real world, Ada project.

Building quality into medical product software design.

PubMed

Mallory, S R

1993-01-01

The software engineering and quality assurance disciplines are a requisite to the design of safe and effective software-based medical devices. It is in the areas of software methodology and process that the most beneficial application of these disciplines to software development can be made. Software is a product of complex operations and methodologies and is not amenable to the traditional electromechanical quality assurance processes. Software quality must be built in by the developers, with the software verification and validation engineers acting as the independent instruments for ensuring compliance with performance objectives and with development and maintenance standards. The implementation of a software quality assurance program is a complex process involving management support, organizational changes, and new skill sets, but the benefits are profound. Its rewards provide safe, reliable, cost-effective, maintainable, and manageable software, which may significantly speed the regulatory review process and therefore potentially shorten the overall time to market. The use of a trial project can greatly facilitate the learning process associated with the first-time application of a software quality assurance program.

Electronic health records and support for primary care teamwork.

PubMed

O'Malley, Ann S; Draper, Kevin; Gourevitch, Rebecca; Cross, Dori A; Scholle, Sarah Hudson

2015-03-01

Consensus that enhanced teamwork is necessary for efficient and effective primary care delivery is growing. We sought to identify how electronic health records (EHRs) facilitate and pose challenges to primary care teams as well as how practices are overcoming these challenges. Practices in this qualitative study were selected from those recognized as patient-centered medical homes via the National Committee for Quality Assurance 2011 tool, which included a section on practice teamwork. We interviewed 63 respondents, ranging from physicians to front-desk staff, from 27 primary care practices ranging in size, type, geography, and population size. EHRs were found to facilitate communication and task delegation in primary care teams through instant messaging, task management software, and the ability to create evidence-based templates for symptom-specific data collection from patients by medical assistants and nurses (which can offload work from physicians). Areas where respondents felt that electronic medical record EHR functionalities were weakest and posed challenges to teamwork included the lack of integrated care manager software and care plans in EHRs, poor practice registry functionality and interoperability, and inadequate ease of tracking patient data in the EHR over time. Practices developed solutions for some of the challenges they faced when attempting to use EHRs to support teamwork but wanted more permanent vendor and policy solutions for other challenges. EHR vendors in the United States need to work alongside practicing primary care teams to create more clinically useful EHRs that support dynamic care plans, integrated care management software, more functional and interoperable practice registries, and greater ease of data tracking over time. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice.

PubMed

Chang, Ching-Sheng; Chen, Su-Yueh; Lan, Yi-Ting

2012-11-21

No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems.

Software safety - A user's practical perspective

NASA Technical Reports Server (NTRS)

Dunn, William R.; Corliss, Lloyd D.

1990-01-01

Software safety assurance philosophy and practices at the NASA Ames are discussed. It is shown that, to be safe, software must be error-free. Software developments on two digital flight control systems and two ground facility systems are examined, including the overall system and software organization and function, the software-safety issues, and their resolution. The effectiveness of safety assurance methods is discussed, including conventional life-cycle practices, verification and validation testing, software safety analysis, and formal design methods. It is concluded (1) that a practical software safety technology does not yet exist, (2) that it is unlikely that a set of general-purpose analytical techniques can be developed for proving that software is safe, and (3) that successful software safety-assurance practices will have to take into account the detailed design processes employed and show that the software will execute correctly under all possible conditions.

A measurement system for large, complex software programs

NASA Technical Reports Server (NTRS)

Rone, Kyle Y.; Olson, Kitty M.; Davis, Nathan E.

1994-01-01

This paper describes measurement systems required to forecast, measure, and control activities for large, complex software development and support programs. Initial software cost and quality analysis provides the foundation for meaningful management decisions as a project evolves. In modeling the cost and quality of software systems, the relationship between the functionality, quality, cost, and schedule of the product must be considered. This explicit relationship is dictated by the criticality of the software being developed. This balance between cost and quality is a viable software engineering trade-off throughout the life cycle. Therefore, the ability to accurately estimate the cost and quality of software systems is essential to providing reliable software on time and within budget. Software cost models relate the product error rate to the percent of the project labor that is required for independent verification and validation. The criticality of the software determines which cost model is used to estimate the labor required to develop the software. Software quality models yield an expected error discovery rate based on the software size, criticality, software development environment, and the level of competence of the project and developers with respect to the processes being employed.

Fostering Cooperative Learning with Scrum in a Semi-Capstone Systems Analysis and Design Course

ERIC Educational Resources Information Center

Magana, Alejandra J.; Seah, Ying Ying; Thomas, Paul

2018-01-01

Agile methods such as Scrum that emphasize technical, communication, and teamwork skills have been practiced by IT professionals to effectively deliver software products of good quality. The same methods combined with pedagogies of engagement can potentially be used in the setting of higher education to promote effective group learning in software…

A Design Quality Learning Unit in OO Modeling Bridging the Engineer and the Artist

ERIC Educational Resources Information Center

Waguespack, Leslie J.

2015-01-01

Recent IS curriculum guidelines compress software development pedagogy into smaller and smaller pockets of course syllabi. Where undergraduate IS students once may have practiced modeling in analysis, design, and implementation across six or more courses in a curriculum using a variety of languages and tools they commonly now experience modeling…

Software quality in 1997

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jones, C.

1997-11-01

For many years, software quality assurance lagged behind hardware quality assurance in terms of methods, metrics, and successful results. New approaches such as Quality Function Deployment (QFD) the ISO 9000-9004 standards, the SEI maturity levels, and Total Quality Management (TQM) are starting to attract wide attention, and in some cases to bring software quality levels up to a parity with manufacturing quality levels. Since software is on the critical path for many engineered products, and for internal business systems as well, the new approaches are starting to affect global competition and attract widespread international interest. It can be hypothesized thatmore » success in mastering software quality will be a key strategy for dominating global software markets in the 21st century.« less

Software component quality evaluation

NASA Technical Reports Server (NTRS)

Clough, A. J.

1991-01-01

The paper describes a software inspection process that can be used to evaluate the quality of software components. Quality criteria, process application, independent testing of the process and proposed associated tool support are covered. Early results indicate that this technique is well suited for assessing software component quality in a standardized fashion. With automated machine assistance to facilitate both the evaluation and selection of software components, such a technique should promote effective reuse of software components.

Quality measures and assurance for AI (Artificial Intelligence) software

NASA Technical Reports Server (NTRS)

Rushby, John

1988-01-01

This report is concerned with the application of software quality and evaluation measures to AI software and, more broadly, with the question of quality assurance for AI software. Considered are not only the metrics that attempt to measure some aspect of software quality, but also the methodologies and techniques (such as systematic testing) that attempt to improve some dimension of quality, without necessarily quantifying the extent of the improvement. The report is divided into three parts Part 1 reviews existing software quality measures, i.e., those that have been developed for, and applied to, conventional software. Part 2 considers the characteristics of AI software, the applicability and potential utility of measures and techniques identified in the first part, and reviews those few methods developed specifically for AI software. Part 3 presents an assessment and recommendations for the further exploration of this important area.

BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics.

PubMed

Avtonomov, Dmitry M; Raskind, Alexander; Nesvizhskii, Alexey I

2016-08-05

Mass spectrometry (MS) coupled to liquid chromatography (LC) is a commonly used technique in metabolomic and proteomic research. As the size and complexity of LC-MS-based experiments grow, it becomes increasingly more difficult to perform quality control of both raw data and processing results. In a practical setting, quality control steps for raw LC-MS data are often overlooked, and assessment of an experiment's success is based on some derived metrics such as "the number of identified compounds". The human brain interprets visual data much better than plain text, hence the saying "a picture is worth a thousand words". Here, we present the BatMass software package, which allows for performing quick quality control of raw LC-MS data through its fast visualization capabilities. It also serves as a testbed for developers of LC-MS data processing algorithms by providing a data access library for open mass spectrometry file formats and a means of visually mapping processing results back to the original data. We illustrate the utility of BatMass with several use cases of quality control and data exploration.

BatMass: a Java software platform for LC/MS data visualization in proteomics and metabolomics

PubMed Central

Avtonomov, Dmitry; Raskind, Alexander; Nesvizhskii, Alexey I.

2017-01-01

Mass spectrometry (MS) coupled to liquid chromatography (LC) is a commonly used technique in metabolomic and proteomic research. As the size and complexity of LC/MS based experiments grow, it becomes increasingly more difficult to perform quality control of both raw data and processing results. In a practical setting, quality control steps for raw LC/MS data are often overlooked and assessment of an experiment's success is based on some derived metrics such as “the number of identified compounds”. Human brain interprets visual data much better than plain text, hence the saying “a picture is worth a thousand words”. Here we present BatMass software package which allows to perform quick quality control of raw LC/MS data through its fast visualization capabilities. It also serves as a testbed for developers of LC/MS data processing algorithms by providing a data access library for open mass spectrometry file formats and a means of visually mapping processing results back to the original data. We illustrate the utility of BatMass with several use cases of quality control and data exploration. PMID:27306858

Artificial intelligence approaches to software engineering

NASA Technical Reports Server (NTRS)

Johannes, James D.; Macdonald, James R.

1988-01-01

Artificial intelligence approaches to software engineering are examined. The software development life cycle is a sequence of not so well-defined phases. Improved techniques for developing systems have been formulated over the past 15 years, but pressure continues to attempt to reduce current costs. Software development technology seems to be standing still. The primary objective of the knowledge-based approach to software development presented in this paper is to avoid problem areas that lead to schedule slippages, cost overruns, or software products that fall short of their desired goals. Identifying and resolving software problems early, often in the phase in which they first occur, has been shown to contribute significantly to reducing risks in software development. Software development is not a mechanical process but a basic human activity. It requires clear thinking, work, and rework to be successful. The artificial intelligence approaches to software engineering presented support the software development life cycle through the use of software development techniques and methodologies in terms of changing current practices and methods. These should be replaced by better techniques that that improve the process of of software development and the quality of the resulting products. The software development process can be structured into well-defined steps, of which the interfaces are standardized, supported and checked by automated procedures that provide error detection, production of the documentation and ultimately support the actual design of complex programs.

Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software.

PubMed

Lancsar, Emily; Fiebig, Denzil G; Hole, Arne Risa

2017-07-01

We provide a user guide on the analysis of data (including best-worst and best-best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. We also provide a review of standard software. In providing this guide, we endeavour to not only provide guidance on choice modelling but to do so in a way that provides a 'way in' for researchers to the practicalities of data analysis. We argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of choice data are often interdependent rather than sequential. Given the core theory and estimation of choice models is common across settings, we expect the theoretical and practical content of this paper to be useful to researchers not only within but also beyond health economics.

Software Quality Evaluation Models Applicable in Health Information and Communications Technologies. A Review of the Literature.

PubMed

Villamor Ordozgoiti, Alberto; Delgado Hito, Pilar; Guix Comellas, Eva María; Fernandez Sanchez, Carlos Manuel; Garcia Hernandez, Milagros; Lluch Canut, Teresa

2016-01-01

Information and Communications Technologies in healthcare has increased the need to consider quality criteria through standardised processes. The aim of this study was to analyse the software quality evaluation models applicable to healthcare from the perspective of ICT-purchasers. Through a systematic literature review with the keywords software, product, quality, evaluation and health, we selected and analysed 20 original research papers published from 2005-2016 in health science and technology databases. The results showed four main topics: non-ISO models, software quality evaluation models based on ISO/IEC standards, studies analysing software quality evaluation models, and studies analysing ISO standards for software quality evaluation. The models provide cost-efficiency criteria for specific software, and improve use outcomes. The ISO/IEC25000 standard is shown as the most suitable for evaluating the quality of ICTs for healthcare use from the perspective of institutional acquisition.

Analyzing longitudinal data with the linear mixed models procedure in SPSS.

PubMed

West, Brady T

2009-09-01

Many applied researchers analyzing longitudinal data share a common misconception: that specialized statistical software is necessary to fit hierarchical linear models (also known as linear mixed models [LMMs], or multilevel models) to longitudinal data sets. Although several specialized statistical software programs of high quality are available that allow researchers to fit these models to longitudinal data sets (e.g., HLM), rapid advances in general purpose statistical software packages have recently enabled analysts to fit these same models when using preferred packages that also enable other more common analyses. One of these general purpose statistical packages is SPSS, which includes a very flexible and powerful procedure for fitting LMMs to longitudinal data sets with continuous outcomes. This article aims to present readers with a practical discussion of how to analyze longitudinal data using the LMMs procedure in the SPSS statistical software package.

Student computer attitudes, experience and perceptions about the use of two software applications in Building Engineering

NASA Astrophysics Data System (ADS)

Chiner, Esther; Garcia-Vera, Victoria E.

2017-11-01

The purpose of this study was to examine students' computer attitudes and experience, as well as students' perceptions about the use of two specific software applications (Google Drive Spreadsheets and Arquimedes) in the Building Engineering context. The relationships among these variables were also examined. Ninety-two students took part in this study. Results suggest that students hold favourable computer attitudes. Moreover, it was found a significant positive relationship among students' attitudes and their computer experience. Findings also show that students find Arquimedes software more useful and with higher output quality than Google Drive Spreadsheets, while the latter is perceived to be easier to use. Regarding the relationship among students' attitudes towards the use of computers and their perceptions about the use of both software applications, only a significant positive relationship in the case of Arquimedes was found. Findings are discussed in terms of its implications for practice and further research.

Culture shock: Improving software quality

DOE Office of Scientific and Technical Information (OSTI.GOV)

de Jong, K.; Trauth, S.L.

1988-01-01

The concept of software quality can represent a significant shock to an individual who has been developing software for many years and who believes he or she has been doing a high quality job. The very idea that software includes lines of code and associated documentation is foreign and difficult to grasp, at best. Implementation of a software quality program hinges on the concept that software is a product whose quality needs improving. When this idea is introduced into a technical community that is largely ''self-taught'' and has been producing ''good'' software for some time, a fundamental understanding of themore » concepts associated with software is often weak. Software developers can react as if to say, ''What are you talking about. What do you mean I'm not doing a good job. I haven't gotten any complaints about my code yetexclamation'' Coupling such surprise and resentment with the shock that software really is a product and software quality concepts do exist, can fuel the volatility of these emotions. In this paper, we demonstrate that the concept of software quality can indeed pose a culture shock to developers. We also show that a ''typical'' quality assurance approach, that of imposing a standard and providing inspectors and auditors to assure its adherence, contributes to this shock and detracts from the very goal the approach should achieve. We offer an alternative, adopted through experience, to implement a software quality program: cooperative assistance. We show how cooperation, education, consultation and friendly assistance can overcome this culture shock. 3 refs.« less

Readiness of the Belgian network of sentinel general practitioners to deliver electronic health record data for surveillance purposes: results of survey study.

PubMed

Boffin, Nicole; Bossuyt, Nathalie; Vanthomme, Katrien; Van Casteren, Viviane

2010-06-25

In order to proceed from a paper based registration to a surveillance system that is based on extraction of electronic health records (EHR), knowledge is needed on the number and representativeness of sentinel GPs using a government-certified EHR system and the quality of EHR data for research, expressed in the compliance rate with three criteria: recording of home visits, use of prescription module and diagnostic subject headings. Data were collected by annual postal surveys between 2005 and 2009 among all sentinel GPs. We tested relations between four key GP characteristics (age, gender, language community, practice organisation) and use of a certified EHR system by multivariable logistic regression. The relation between EHR software package, GP characteristics and compliance with three quality criteria was equally measured by multivariable logistic regression. A response rate of 99% was obtained. Of 221 sentinel GPs, 55% participated in the surveillance without interruption from 2005 onwards, i.e. all five years, and 78% were participants in 2009. Sixteen certified EHR systems were used among 91% of the Dutch and 63% of the French speaking sentinel GPs. The EHR software package was strongly related to the community and only one EHR system was used by a comparable number of sentinel GPs in both communities. Overall, the prescription module was always used and home visits were usually recorded. Uniform subject headings were only sometimes used and the compliance with this quality criterion was almost exclusively related to the EHR software package in use. The challenge is to progress towards a sentinel network of GPs delivering care-based data that are (partly) extracted from well performing EHR systems and still representative for Belgian general practice.

Selecting information technology for physicians' practices: a cross-sectional study.

PubMed

Eden, Karen Beekman

2002-04-05

Many physicians are transitioning from paper to electronic formats for billing, scheduling, medical charts, communications, etc. The primary objective of this research was to identify the relationship (if any) between the software selection process and the office staff's perceptions of the software's impact on practice activities. A telephone survey was conducted with office representatives of 407 physician practices in Oregon who had purchased information technology. The respondents, usually office managers, answered scripted questions about their selection process and their perceptions of the software after implementation. Multiple logistic regression revealed that software type, selection steps, and certain factors influencing the purchase were related to whether the respondents felt the software improved the scheduling and financial analysis practice activities. Specifically, practices that selected electronic medical record or practice management software, that made software comparisons, or that considered prior user testimony as important were more likely to have perceived improvements in the scheduling process than were other practices. Practices that considered value important, that did not consider compatibility important, that selected managed care software, that spent less than 10,000 dollars, or that provided learning time (most dramatic increase in odds ratio, 8.2) during implementation were more likely to perceive that the software had improved the financial analysis process than were other practices. Perhaps one of the most important predictors of improvement was providing learning time during implementation, particularly when the software involves several practice activities. Despite this importance, less than half of the practices reported performing this step.

Software quality for 1997 - what works and what doesn`t?

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jones, C.

1997-11-01

This presentation provides a view of software quality for 1997 - what works and what doesn`t. For many years, software quality assurance lagged behind hardware quality assurance in terms of methods, metrics, and successful results. New approaches such as Quality Function Development (WFD) the ISO 9000-9004 standards, the SEI maturity levels, and Total Quality Management (TQM) are starting to attract wide attention, and in some cases to bring software quality levels up to a parity with manufacturing quality levels.

Software metrics: Software quality metrics for distributed systems. [reliability engineering

NASA Technical Reports Server (NTRS)

Post, J. V.

1981-01-01

Software quality metrics was extended to cover distributed computer systems. Emphasis is placed on studying embedded computer systems and on viewing them within a system life cycle. The hierarchy of quality factors, criteria, and metrics was maintained. New software quality factors were added, including survivability, expandability, and evolvability.

Implementing and maintaining a researchable database from electronic medical records: a perspective from an academic family medicine department.

PubMed

Stewart, Moira; Thind, Amardeep; Terry, Amanda L; Chevendra, Vijaya; Marshall, J Neil

2009-11-01

Electronic medical records (EMRs) are posited as a tool for improving practice, policy and research in primary healthcare. This paper describes the Deliver Primary Healthcare Information (DELPHI) Project at the Department of Family Medicine at the University of Western Ontario, focusing on its development, current status and research potential in order to share experiences with researchers in similar contexts. The project progressed through four stages: (a) participant recruitment, (b) EMR software modification and implementation, (c) database creation and (d) data quality assessment. Currently, the DELPHI database holds more than two years of high-quality, de-identified data from 10 practices, with 30,000 patients and nearly a quarter of a million encounters.

An empirical study of software design practices

NASA Technical Reports Server (NTRS)

Card, David N.; Church, Victor E.; Agresti, William W.

1986-01-01

Software engineers have developed a large body of software design theory and folklore, much of which was never validated. The results of an empirical study of software design practices in one specific environment are presented. The practices examined affect module size, module strength, data coupling, descendant span, unreferenced variables, and software reuse. Measures characteristic of these practices were extracted from 887 FORTRAN modules developed for five flight dynamics software projects monitored by the Software Engineering Laboratory (SEL). The relationship of these measures to cost and fault rate was analyzed using a contingency table procedure. The results show that some recommended design practices, despite their intuitive appeal, are ineffective in this environment, whereas others are very effective.

Towards a mature measurement environment: Creating a software engineering research environment

NASA Technical Reports Server (NTRS)

Basili, Victor R.

1990-01-01

Software engineering researchers are building tools, defining methods, and models; however, there are problems with the nature and style of the research. The research is typically bottom-up, done in isolation so the pieces cannot be easily logically or physically integrated. A great deal of the research is essentially the packaging of a particular piece of technology with little indication of how the work would be integrated with other prices of research. The research is not aimed at solving the real problems of software engineering, i.e., the development and maintenance of quality systems in a productive manner. The research results are not evaluated or analyzed via experimentation or refined and tailored to the application environment. Thus, it cannot be easily transferred into practice. Because of these limitations we have not been able to understand the components of the discipline as a coherent whole and the relationships between various models of the process and product. What is needed is a top down experimental, evolutionary framework in which research can be focused, logically and physically integrated to produce quality software productively, and evaluated and tailored to the application environment. This implies the need for experimentation, which in turn implies the need for a laboratory that is associated with the artifact we are studying. This laboratory can only exist in an environment where software is being built, i.e., as part of a real software development and maintenance organization. Thus, we propose that Software Engineering Laboratory (SEL) type activities exist in all organizations to support software engineering research. We describe the SEL from a researcher's point of view, and discuss the corporate and government benefits of the SEL. The discussion focuses on the benefits to the research community.

The Influence of Software Complexity on the Maintenance Effort: Case Study on Software Developed within Educational Process

ERIC Educational Resources Information Center

Radulescu, Iulian Ionut

2006-01-01

Software complexity is the most important software quality attribute and a very useful instrument in the study of software quality. Is one of the factors that affect most of the software quality characteristics, including maintainability. It is very important to quantity this influence and identify the means to keep it under control; by using…

Student self-assessment in an interactive learning environment: Technological tools for scaffolding and understanding self-assessment practices

NASA Astrophysics Data System (ADS)

Eslinger, Eric Martin

Metacognitive skills are a crucial component of a successful learning career. We define metacognition as the ability to plan, monitor progress toward a goal, reflect on the quality of work and process, and revise the work or plan accordingly. By explicitly addressing certain metacognitive practices in classrooms, researchers have observed improved learning outcomes in both science and mathematical problem solving. Although these efforts were successful, they were also limited in the range of skills that could be addressed at one time and the methods used to address them due to the static nature inherent in traditional pencil-and-paper format. We wished to address these skills in a more dynamic, continuous representation such as that afforded by a computerized learning environment. This paper outlines such an environment and describes pedagogical activities afforded by the system. The ThinkerTools group developed and tested a software scaffold for inquiry projects in a middle-school classroom. By analyzing student use of the software tool, three forms of self-assessment activity were noted: integrated, task and project self-assessment. Each assessment form was related to the degree of interleaving between assessment and work the students engaged in as they developed their inquiry products. I argue that the integrated forms of assessment are more beneficial to student learning, and show that there is a significant relationship between active self-assessment forms and measures of student achievement and product quality. Through the use of case studies including video analysis, I address specific student self-assessment activity that utilized the software as well as self-assessment that took place outside of the software. A model of student self-assessment activity was created, highlighting aspects of activity that afford more productive self-assessment episodes.

Developing an Interactive Data Visualization Tool to Assess the Impact of Decision Support on Clinical Operations.

PubMed

Huber, Timothy C; Krishnaraj, Arun; Monaghan, Dayna; Gaskin, Cree M

2018-05-18

Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.

Using a web-based survey tool to undertake a Delphi study: application for nurse education research.

PubMed

Gill, Fenella J; Leslie, Gavin D; Grech, Carol; Latour, Jos M

2013-11-01

The Internet is increasingly being used as a data collection medium to access research participants. This paper reports on the experience and value of using web-survey software to conduct an eDelphi study to develop Australian critical care course graduate practice standards. The eDelphi technique used involved the iterative process of administering three rounds of surveys to a national expert panel. The survey was developed online using SurveyMonkey. Panel members responded to statements using one rating scale for round one and two scales for rounds two and three. Text boxes for panel comments were provided. For each round, the SurveyMonkey's email tool was used to distribute an individualized email invitation containing the survey web link. The distribution of panel responses, individual responses and a summary of comments were emailed to panel members. Stacked bar charts representing the distribution of responses were generated using the SurveyMonkey software. Panel response rates remained greater than 85% over all rounds. An online survey provided numerous advantages over traditional survey approaches including high quality data collection, ease and speed of survey administration, direct communication with the panel and rapid collation of feedback allowing data collection to be undertaken in 12 weeks. Only minor challenges were experienced using the technology. Ethical issues, specific to using the Internet to conduct research and external hosting of web-based software, lacked formal guidance. High response rates and an increased level of data quality were achieved in this study using web-survey software and the process was efficient and user-friendly. However, when considering online survey software, it is important to match the research design with the computer capabilities of participants and recognize that ethical review guidelines and processes have not yet kept pace with online research practices. Copyright © 2013 Elsevier Ltd. All rights reserved.

Quality Market: Design and Field Study of Prediction Market for Software Quality Control

ERIC Educational Resources Information Center

Krishnamurthy, Janaki

2010-01-01

Given the increasing competition in the software industry and the critical consequences of software errors, it has become important for companies to achieve high levels of software quality. While cost reduction and timeliness of projects continue to be important measures, software companies are placing increasing attention on identifying the user…

Social network of PESCA (Open Source Platform for eHealth).

PubMed

Sanchez, Carlos L; Romero-Cuevas, Miguel; Lopez, Diego M; Lorca, Julio; Alcazar, Francisco J; Ruiz, Sergio; Mercado, Carmen; Garcia-Fortea, Pedro

2008-01-01

Information and Communication Technologies (ICTs) are revolutionizing how healthcare systems deliver top-quality care to citizens. In this way, Open Source Software (OSS) has demonstrated to be an important strategy to spread ICTs use. Several human and technological barriers in adopting OSS for healthcare have been identified. Human barriers include user acceptance, limited support, technical skillfulness, awareness, resistance to change, etc., while Technological barriers embrace need for open standards, heterogeneous OSS developed without normalization and metrics, lack of initiatives to evaluate existing health OSS and need for quality control and functional validation. The goals of PESCA project are to create a platform of interoperable modules to evaluate, classify and validate good practices in health OSS. Furthermore, a normalization platform will provide interoperable solutions in the fields of healthcare services, health surveillance, health literature, and health education, knowledge and research. Within the platform, the first goal to achieve is the setup of the collaborative work infrastructure. The platform is being organized as a Social Network which works to evaluate five scopes of every existing open source tools for eHealth: Open Source Software, Quality, Pedagogical, Security and privacy and Internationalization/I18N. In the meantime, the knowledge collected from the networking will configure a Good Practice Repository on eHealth promoting the effective use of ICT on behalf of the citizen's health.

CrossTalk: The Journal of Defense Software Engineering. Volume 24, Number 6. November/December 2011

DTIC Science & Technology

2011-11-01

Software Development.” Software Quality Professional Journal, American Society for Quality (ASQ), (March 2010) 4-14. 3. Nair, Gopalakrishnan T.R...Inspection Performance Metric”. Software Quality Professional Journal, American Society for Quality (ASQ), Volume 13, Issue 2, (March 2011) 14-26...the discovery process and are marketed by compa- nies such as Black Duck Software, OpenLogic, Palamida, and Protecode, among others.7 A number of open

Using software metrics and software reliability models to attain acceptable quality software for flight and ground support software for avionic systems

NASA Technical Reports Server (NTRS)

Lawrence, Stella

1992-01-01

This paper is concerned with methods of measuring and developing quality software. Reliable flight and ground support software is a highly important factor in the successful operation of the space shuttle program. Reliability is probably the most important of the characteristics inherent in the concept of 'software quality'. It is the probability of failure free operation of a computer program for a specified time and environment.

Operational excellence (six sigma) philosophy: Application to software quality assurance

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lackner, M.

1997-11-01

This report contains viewgraphs on operational excellence philosophy of six sigma applied to software quality assurance. This report outlines the following: goal of six sigma; six sigma tools; manufacturing vs administrative processes; Software quality assurance document inspections; map software quality assurance requirements document; failure mode effects analysis for requirements document; measuring the right response variables; and questions.

Comparison of methods for quantitative evaluation of endoscopic distortion

NASA Astrophysics Data System (ADS)

Wang, Quanzeng; Castro, Kurt; Desai, Viraj N.; Cheng, Wei-Chung; Pfefer, Joshua

2015-03-01

Endoscopy is a well-established paradigm in medical imaging, and emerging endoscopic technologies such as high resolution, capsule and disposable endoscopes promise significant improvements in effectiveness, as well as patient safety and acceptance of endoscopy. However, the field lacks practical standardized test methods to evaluate key optical performance characteristics (OPCs), in particular the geometric distortion caused by fisheye lens effects in clinical endoscopic systems. As a result, it has been difficult to evaluate an endoscope's image quality or assess its changes over time. The goal of this work was to identify optimal techniques for objective, quantitative characterization of distortion that are effective and not burdensome. Specifically, distortion measurements from a commercially available distortion evaluation/correction software package were compared with a custom algorithm based on a local magnification (ML) approach. Measurements were performed using a clinical gastroscope to image square grid targets. Recorded images were analyzed with the ML approach and the commercial software where the results were used to obtain corrected images. Corrected images based on the ML approach and the software were compared. The study showed that the ML method could assess distortion patterns more accurately than the commercial software. Overall, the development of standardized test methods for characterizing distortion and other OPCs will facilitate development, clinical translation, manufacturing quality and assurance of performance during clinical use of endoscopic technologies.

Application of advanced data collection and quality assurance methods in open prospective study - a case study of PONS project.

PubMed

Wawrzyniak, Zbigniew M; Paczesny, Daniel; Mańczuk, Marta; Zatoński, Witold A

2011-01-01

Large-scale epidemiologic studies can assess health indicators differentiating social groups and important health outcomes of the incidence and mortality of cancer, cardiovascular disease, and others, to establish a solid knowledgebase for the prevention management of premature morbidity and mortality causes. This study presents new advanced methods of data collection and data management systems with current data quality control and security to ensure high quality data assessment of health indicators in the large epidemiologic PONS study (The Polish-Norwegian Study). The material for experiment is the data management design of the large-scale population study in Poland (PONS) and the managed processes are applied into establishing a high quality and solid knowledge. The functional requirements of the PONS study data collection, supported by the advanced IT web-based methods, resulted in medical data of a high quality, data security, with quality data assessment, control process and evolution monitoring are fulfilled and shared by the IT system. Data from disparate and deployed sources of information are integrated into databases via software interfaces, and archived by a multi task secure server. The practical and implemented solution of modern advanced database technologies and remote software/hardware structure successfully supports the research of the big PONS study project. Development and implementation of follow-up control of the consistency and quality of data analysis and the processes of the PONS sub-databases have excellent measurement properties of data consistency of more than 99%. The project itself, by tailored hardware/software application, shows the positive impact of Quality Assurance (QA) on the quality of outcomes analysis results, effective data management within a shorter time. This efficiency ensures the quality of the epidemiological data and indicators of health by the elimination of common errors of research questionnaires and medical measurements.

78 FR 16474 - Extension of the Period for Comments on the Enhancement of Quality of Software-Related Patents

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-15

...] Extension of the Period for Comments on the Enhancement of Quality of Software-Related Patents AGENCY... announcing the formation of a partnership with the software community to enhance the quality of software-related patents (Software Partnership), and a request for comments on the preparation of patent...

[Definition and specification requirements for PAC-systems (picture archiving and communication system). A performance index with reference to the standard "IEEE Recommended Practice for Software Requirement Specifications"].

PubMed

König, H; Klose, K J

1999-04-01

The formulation of requirements is necessary to control the goals of a PACS project. Furthermore, in this way, the scope of functionality necessary to support radiological working processes becomes clear. Definitions of requirements and specification are formulated independently of systems according to the IEEE standard "Recommended Practice for Software Requirements Specifications". Definitions are given in the Request for Information, specifications in the Request for Proposal. Functional and non-functional requirements are distinguished. The solutions are rated with respect to scope, appropriateness and quality of implementation. A PACS checklist was created according to the methods described above. It is published on the homepage of the "Arbeitsgemeinschaft Informationstechnologie" (AGIT) within the "Deutsche Röntgengesellschaft" (DRG) (http://www.uni-marburg.de/mzr/agit). The checklist provides a discussion forum which should contribute to an agreement on accepted basic PACS functionalities.

Quantitative CMMI Assessment for Offshoring through the Analysis of Project Management Repositories

NASA Astrophysics Data System (ADS)

Sunetnanta, Thanwadee; Nobprapai, Ni-On; Gotel, Olly

The nature of distributed teams and the existence of multiple sites in offshore software development projects pose a challenging setting for software process improvement. Often, the improvement and appraisal of software processes is achieved through a turnkey solution where best practices are imposed or transferred from a company’s headquarters to its offshore units. In so doing, successful project health checks and monitoring for quality on software processes requires strong project management skills, well-built onshore-offshore coordination, and often needs regular onsite visits by software process improvement consultants from the headquarters’ team. This paper focuses on software process improvement as guided by the Capability Maturity Model Integration (CMMI) and proposes a model to evaluate the status of such improvement efforts in the context of distributed multi-site projects without some of this overhead. The paper discusses the application of quantitative CMMI assessment through the collection and analysis of project data gathered directly from project repositories to facilitate CMMI implementation and reduce the cost of such implementation for offshore-outsourced software development projects. We exemplify this approach to quantitative CMMI assessment through the analysis of project management data and discuss the future directions of this work in progress.

Architecture of distributed picture archiving and communication systems for storing and processing high resolution medical images

NASA Astrophysics Data System (ADS)

Tokareva, Victoria

2018-04-01

New generation medicine demands a better quality of analysis increasing the amount of data collected during checkups, and simultaneously decreasing the invasiveness of a procedure. Thus it becomes urgent not only to develop advanced modern hardware, but also to implement special software infrastructure for using it in everyday clinical practice, so-called Picture Archiving and Communication Systems (PACS). Developing distributed PACS is a challenging task for nowadays medical informatics. The paper discusses the architecture of distributed PACS server for processing large high-quality medical images, with respect to technical specifications of modern medical imaging hardware, as well as international standards in medical imaging software. The MapReduce paradigm is proposed for image reconstruction by server, and the details of utilizing the Hadoop framework for this task are being discussed in order to provide the design of distributed PACS as ergonomic and adapted to the needs of end users as possible.

APPLICATION OF SOFTWARE QUALITY ASSURANCE CONCEPTS AND PROCEDURES TO ENVIORNMENTAL RESEARCH INVOLVING SOFTWARE DEVELOPMENT

EPA Science Inventory

As EPA’s environmental research expands into new areas that involve the development of software, quality assurance concepts and procedures that were originally developed for environmental data collection may not be appropriate. Fortunately, software quality assurance is a ...

Filtered Push: Annotating Distributed Data for Quality Control and Fitness for Use Analysis

NASA Astrophysics Data System (ADS)

Morris, P. J.; Kelly, M. A.; Lowery, D. B.; Macklin, J. A.; Morris, R. A.; Tremonte, D.; Wang, Z.

2009-12-01

The single greatest problem with the federation of scientific data is the assessment of the quality and validity of the aggregated data in the context of particular research problems, that is, its fitness for use. There are three critical data quality issues in networks of distributed natural science collections data, as in all scientific data: identifying and correcting errors, maintaining currency, and assessing fitness for use. To this end, we have designed and implemented a prototype network in the domain of natural science collections. This prototype is built over the open source Map-Reduce platform Hadoop with a network client in the open source collections management system Specify 6. We call this network “Filtered Push” as, at its core, annotations are pushed from the network edges to relevant authoritative repositories, where humans and software filter the annotations before accepting them as changes to the authoritative data. The Filtered Push software is a domain-neutral framework for originating, distributing, and analyzing record-level annotations. Network participants can subscribe to notifications arising from ontology-based analyses of new annotations or of purpose-built queries against the network's global history of annotations. Quality and fitness for use of distributed natural science collections data can be addressed with Filtered Push software by implementing a network that allows data providers and consumers to define potential errors in data, develop metrics for those errors, specify workflows to analyze distributed data to detect potential errors, and to close the quality management cycle by providing a network architecture to pushing assertions about data quality such as corrections back to the curators of the participating data sets. Quality issues in distributed scientific data have several things in common: (1) Statements about data quality should be regarded as hypotheses about inconsistencies between perhaps several records, data sets, or practices of science. (2) Data quality problems often cannot be detected only from internal statistical correlations or logical analysis, but may need the application of defined workflows that signal illogical output. (3) Changes in scientific theory or practice over time can result in changes of what QC tests should be applied to legacy data. (4) The frequency of some classes of error in a data set may be identifiable without the ability to assert that a particular record is in error. To address these issues requires, as does science itself, framing QC hypotheses against data that may be anywhere and may arise at any time in the future. In short, QC for science data is a never ending process. It must provide for notice to an agent (human or software) that a given dataset supports a hypothesis of inconsistency with a current scientific resource or model, or with potential generalizations of the concepts in a metadata ontology. Like quality control in general, quality control of distributed data is a repeated cyclical process. In implementing a Filtered Push network for quality control, we have a model in which the cost of QC forever is not substantially greater than QC once.

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

PubMed Central

2012-01-01

Background No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. Methods The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. Results The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. Conclusions It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems. PMID:23171394

Quality Attributes for Mission Flight Software: A Reference for Architects

NASA Technical Reports Server (NTRS)

Wilmot, Jonathan; Fesq, Lorraine; Dvorak, Dan

2016-01-01

In the international standards for architecture descriptions in systems and software engineering (ISO/IEC/IEEE 42010), "concern" is a primary concept that often manifests itself in relation to the quality attributes or "ilities" that a system is expected to exhibit - qualities such as reliability, security and modifiability. One of the main uses of an architecture description is to serve as a basis for analyzing how well the architecture achieves its quality attributes, and that requires architects to be as precise as possible about what they mean in claiming, for example, that an architecture supports "modifiability." This paper describes a table, generated by NASA's Software Architecture Review Board, which lists fourteen key quality attributes, identifies different important aspects of each quality attribute and considers each aspect in terms of requirements, rationale, evidence, and tactics to achieve the aspect. This quality attribute table is intended to serve as a guide to software architects, software developers, and software architecture reviewers in the domain of mission-critical real-time embedded systems, such as space mission flight software.

A research review of quality assessment for software

NASA Technical Reports Server (NTRS)

1991-01-01

Measures were recommended to assess the quality of software submitted to the AdaNet program. The quality factors that are important to software reuse are explored and methods of evaluating those factors are discussed. Quality factors important to software reuse are: correctness, reliability, verifiability, understandability, modifiability, and certifiability. Certifiability is included because the documentation of many factors about a software component such as its efficiency, portability, and development history, constitute a class for factors important to some users, not important at all to other, and impossible for AdaNet to distinguish between a priori. The quality factors may be assessed in different ways. There are a few quantitative measures which have been shown to indicate software quality. However, it is believed that there exists many factors that indicate quality and have not been empirically validated due to their subjective nature. These subjective factors are characterized by the way in which they support the software engineering principles of abstraction, information hiding, modularity, localization, confirmability, uniformity, and completeness.

A Structure for Creating Quality Software.

ERIC Educational Resources Information Center

Christensen, Larry C.; Bodey, Michael R.

1990-01-01

Addresses the issue of assuring quality software for use in computer-aided instruction and presents a structure by which developers can create quality courseware. Differences between courseware and computer-aided instruction software are discussed, methods for testing software are described, and human factors issues as well as instructional design…

Xyce parallel electronic simulator design.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thornquist, Heidi K.; Rankin, Eric Lamont; Mei, Ting

2010-09-01

This document is the Xyce Circuit Simulator developer guide. Xyce has been designed from the 'ground up' to be a SPICE-compatible, distributed memory parallel circuit simulator. While it is in many respects a research code, Xyce is intended to be a production simulator. As such, having software quality engineering (SQE) procedures in place to insure a high level of code quality and robustness are essential. Version control, issue tracking customer support, C++ style guildlines and the Xyce release process are all described. The Xyce Parallel Electronic Simulator has been under development at Sandia since 1999. Historically, Xyce has mostly beenmore » funded by ASC, the original focus of Xyce development has primarily been related to circuits for nuclear weapons. However, this has not been the only focus and it is expected that the project will diversify. Like many ASC projects, Xyce is a group development effort, which involves a number of researchers, engineers, scientists, mathmaticians and computer scientists. In addition to diversity of background, it is to be expected on long term projects for there to be a certain amount of staff turnover, as people move on to different projects. As a result, it is very important that the project maintain high software quality standards. The point of this document is to formally document a number of the software quality practices followed by the Xyce team in one place. Also, it is hoped that this document will be a good source of information for new developers.« less

Comparison of Dental Students' Self-Directed, Faculty, and Software-Based Assessments of Dental Anatomy Wax-Ups: A Retrospective Study.

PubMed

Garrett, Pauline H; Faraone, Karen L; Patzelt, Sebastian B M; Keaser, Michael L

2015-12-01

Little is known about self-directed and self-reflective assessment in preclinical dental curricula. The aim of this study was to evaluate a visual dental anatomy teaching tool to train dental students to self-assess their dental anatomy wax carving practical examinations. The students self-assessed two waxing practical examinations (tooth #8 and tooth #19) using high-quality digital images in an assessment tool incorporated into a digital testing program. Student self-assessments were compared to the faculty evaluations and the results of a software-based evaluation tool (E4D Compare). Out of a total 130 first-year dental students at one U.S. dental school, wax-ups from 57 participants were available for this study. The assessment data were submitted to statistical analyses (p<0.05). For tooth #8, the student self-assessments were significantly different from the faculty and software assessments at a 400 micrometer level of tolerance (p=0.036), whereas the faculty assessment was not significantly different from the software assessment at a 300 micrometer level of tolerance (p=0.69). The evaluation of tooth #19 resulted in no significant differences between faculty members (p=0.94) or students (p=0.21) and the software at a level of tolerance of 400 micrometers. This study indicates that students can learn to self-assess their work using self-reflection in conjunction with faculty guidance and that it may be possible to use software-based evaluation tools to assist in faculty calibration and as objective grading tools.

Development of innovative computer software to facilitate the setup and computation of water quality index.

PubMed

Nabizadeh, Ramin; Valadi Amin, Maryam; Alimohammadi, Mahmood; Naddafi, Kazem; Mahvi, Amir Hossein; Yousefzadeh, Samira

2013-04-26

Developing a water quality index which is used to convert the water quality dataset into a single number is the most important task of most water quality monitoring programmes. As the water quality index setup is based on different local obstacles, it is not feasible to introduce a definite water quality index to reveal the water quality level. In this study, an innovative software application, the Iranian Water Quality Index Software (IWQIS), is presented in order to facilitate calculation of a water quality index based on dynamic weight factors, which will help users to compute the water quality index in cases where some parameters are missing from the datasets. A dataset containing 735 water samples of drinking water quality in different parts of the country was used to show the performance of this software using different criteria parameters. The software proved to be an efficient tool to facilitate the setup of water quality indices based on flexible use of variables and water quality databases.

Extreme Programming: Maestro Style

NASA Technical Reports Server (NTRS)

Norris, Jeffrey; Fox, Jason; Rabe, Kenneth; Shu, I-Hsiang; Powell, Mark

2009-01-01

"Extreme Programming: Maestro Style" is the name of a computer programming methodology that has evolved as a custom version of a methodology, called extreme programming that has been practiced in the software industry since the late 1990s. The name of this version reflects its origin in the work of the Maestro team at NASA's Jet Propulsion Laboratory that develops software for Mars exploration missions. Extreme programming is oriented toward agile development of software resting on values of simplicity, communication, testing, and aggressiveness. Extreme programming involves use of methods of rapidly building and disseminating institutional knowledge among members of a computer-programming team to give all the members a shared view that matches the view of the customers for whom the software system is to be developed. Extreme programming includes frequent planning by programmers in collaboration with customers, continually examining and rewriting code in striving for the simplest workable software designs, a system metaphor (basically, an abstraction of the system that provides easy-to-remember software-naming conventions and insight into the architecture of the system), programmers working in pairs, adherence to a set of coding standards, collaboration of customers and programmers, frequent verbal communication, frequent releases of software in small increments of development, repeated testing of the developmental software by both programmers and customers, and continuous interaction between the team and the customers. The environment in which the Maestro team works requires the team to quickly adapt to changing needs of its customers. In addition, the team cannot afford to accept unnecessary development risk. Extreme programming enables the Maestro team to remain agile and provide high-quality software and service to its customers. However, several factors in the Maestro environment have made it necessary to modify some of the conventional extreme-programming practices. The single most influential of these factors is that continuous interaction between customers and programmers is not feasible.

Testing Software Development Project Productivity Model

NASA Astrophysics Data System (ADS)

Lipkin, Ilya

Software development is an increasingly influential factor in today's business environment, and a major issue affecting software development is how an organization estimates projects. If the organization underestimates cost, schedule, and quality requirements, the end results will not meet customer needs. On the other hand, if the organization overestimates these criteria, resources that could have been used more profitably will be wasted. There is no accurate model or measure available that can guide an organization in a quest for software development, with existing estimation models often underestimating software development efforts as much as 500 to 600 percent. To address this issue, existing models usually are calibrated using local data with a small sample size, with resulting estimates not offering improved cost analysis. This study presents a conceptual model for accurately estimating software development, based on an extensive literature review and theoretical analysis based on Sociotechnical Systems (STS) theory. The conceptual model serves as a solution to bridge organizational and technological factors and is validated using an empirical dataset provided by the DoD. Practical implications of this study allow for practitioners to concentrate on specific constructs of interest that provide the best value for the least amount of time. This study outlines key contributing constructs that are unique for Software Size E-SLOC, Man-hours Spent, and Quality of the Product, those constructs having the largest contribution to project productivity. This study discusses customer characteristics and provides a framework for a simplified project analysis for source selection evaluation and audit task reviews for the customers and suppliers. Theoretical contributions of this study provide an initial theory-based hypothesized project productivity model that can be used as a generic overall model across several application domains such as IT, Command and Control, Simulation and etc... This research validates findings from previous work concerning software project productivity and leverages said results in this study. The hypothesized project productivity model provides statistical support and validation of expert opinions used by practitioners in the field of software project estimation.

The Use of UML for Software Requirements Expression and Management

NASA Technical Reports Server (NTRS)

Murray, Alex; Clark, Ken

2015-01-01

It is common practice to write English-language "shall" statements to embody detailed software requirements in aerospace software applications. This paper explores the use of the UML language as a replacement for the English language for this purpose. Among the advantages offered by the Unified Modeling Language (UML) is a high degree of clarity and precision in the expression of domain concepts as well as architecture and design. Can this quality of UML be exploited for the definition of software requirements? While expressing logical behavior, interface characteristics, timeliness constraints, and other constraints on software using UML is commonly done and relatively straight-forward, achieving the additional aspects of the expression and management of software requirements that stakeholders expect, especially traceability, is far less so. These other characteristics, concerned with auditing and quality control, include the ability to trace a requirement to a parent requirement (which may well be an English "shall" statement), to trace a requirement to verification activities or scenarios which verify that requirement, and to trace a requirement to elements of the software design which implement that requirement. UML Use Cases, designed for capturing requirements, have not always been satisfactory. Some applications of them simply use the Use Case model element as a repository for English requirement statements. Other applications of Use Cases, in which Use Cases are incorporated into behavioral diagrams that successfully communicate the behaviors and constraints required of the software, do indeed take advantage of UML's clarity, but not in ways that support the traceability features mentioned above. Our approach uses the Stereotype construct of UML to precisely identify elements of UML constructs, especially behaviors such as State Machines and Activities, as requirements, and also to achieve the necessary mapping capabilities. We describe this approach in the context of a space-based software application currently under development at the Jet Propulsion Laboratory.

Process evaluation of software using the international classification of external causes of injuries for collecting burn injury data at burn centers in the United States.

PubMed

Villaveces, Andrés; Peck, Michael; Faraklas, Iris; Hsu-Chang, Naiwei; Joe, Victor; Wibbenmeyer, Lucy

2014-01-01

Detailed information on the cause of burns is necessary to construct effective prevention programs. The International Classification of External Causes of Injury (ICECI) is a data collection tool that allows comprehensive categorization of multiple facets of injury events. The objective of this study was to conduct a process evaluation of software designed to improve the ease of use of the ICECI so as to identify key additional variables useful for understanding the occurrence of burn injuries, and compare this software with existing data-collection practices conducted for burn injuries. The authors completed a process evaluation of the implementation and ease of use of the software in six U.S. burn centers. They also collected preliminary burn injury data and compared them with existing variables reported to the American Burn Association's National Burn Repository (NBR). The authors accomplished their goals of 1) creating a data-collection tool for the ICECI, which can be linked to existing operational programs of the NBR, 2) training registrars in the use of this tool, 3) establishing quality-control mechanisms for ensuring accuracy and reliability, 4) incorporating ICECI data entry into the weekly routine of the burn registrar, and 5) demonstrating the quality differences between data collected using this tool and the NBR. Using this or similar tools with the ICECI structure or key selected variables can improve the quantity and quality of data on burn injuries in the United States and elsewhere and thus can be more useful in informing prevention strategies.

Getting started on metrics - Jet Propulsion Laboratory productivity and quality

NASA Technical Reports Server (NTRS)

Bush, M. W.

1990-01-01

A review is presented to describe the effort and difficulties of reconstructing fifteen years of JPL software history. In 1987 the collection and analysis of project data were started with the objective of creating laboratory-wide measures of quality and productivity for software development. As a result of this two-year Software Product Assurance metrics study, a rough measurement foundation for software productivity and software quality, and an order-of-magnitude quantitative baseline for software systems and subsystems are now available.

A code inspection process for security reviews

DOE Office of Scientific and Technical Information (OSTI.GOV)

Garzoglio, Gabriele; /Fermilab

2009-05-01

In recent years, it has become more and more evident that software threat communities are taking an increasing interest in Grid infrastructures. To mitigate the security risk associated with the increased numbers of attacks, the Grid software development community needs to scale up effort to reduce software vulnerabilities. This can be achieved by introducing security review processes as a standard project management practice. The Grid Facilities Department of the Fermilab Computing Division has developed a code inspection process, tailored to reviewing security properties of software. The goal of the process is to identify technical risks associated with an application andmore » their impact. This is achieved by focusing on the business needs of the application (what it does and protects), on understanding threats and exploit communities (what an exploiter gains), and on uncovering potential vulnerabilities (what defects can be exploited). The desired outcome of the process is an improvement of the quality of the software artifact and an enhanced understanding of possible mitigation strategies for residual risks. This paper describes the inspection process and lessons learned on applying it to Grid middleware.« less

A code inspection process for security reviews

NASA Astrophysics Data System (ADS)

Garzoglio, Gabriele

2010-04-01

In recent years, it has become more and more evident that software threat communities are taking an increasing interest in Grid infrastructures. To mitigate the security risk associated with the increased numbers of attacks, the Grid software development community needs to scale up effort to reduce software vulnerabilities. This can be achieved by introducing security review processes as a standard project management practice. The Grid Facilities Department of the Fermilab Computing Division has developed a code inspection process, tailored to reviewing security properties of software. The goal of the process is to identify technical risks associated with an application and their impact. This is achieved by focusing on the business needs of the application (what it does and protects), on understanding threats and exploit communities (what an exploiter gains), and on uncovering potential vulnerabilities (what defects can be exploited). The desired outcome of the process is an improvement of the quality of the software artifact and an enhanced understanding of possible mitigation strategies for residual risks. This paper describes the inspection process and lessons learned on applying it to Grid middleware.

Modified-BRISQUE as no reference image quality assessment for structural MR images.

PubMed

Chow, Li Sze; Rajagopal, Heshalini

2017-11-01

An effective and practical Image Quality Assessment (IQA) model is needed to assess the image quality produced from any new hardware or software in MRI. A highly competitive No Reference - IQA (NR - IQA) model called Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) initially designed for natural images were modified to evaluate structural MR images. The BRISQUE model measures the image quality by using the locally normalized luminance coefficients, which were used to calculate the image features. The modified-BRISQUE model trained a new regression model using MR image features and Difference Mean Opinion Score (DMOS) from 775 MR images. Two types of benchmarks: objective and subjective assessments were used as performance evaluators for both original and modified-BRISQUE models. There was a high correlation between the modified-BRISQUE with both benchmarks, and they were higher than those for the original BRISQUE. There was a significant percentage improvement in their correlation values. The modified-BRISQUE was statistically better than the original BRISQUE. The modified-BRISQUE model can accurately measure the image quality of MR images. It is a practical NR-IQA model for MR images without using reference images. Copyright © 2017 Elsevier Inc. All rights reserved.

Software Reviews Since Acquisition Reform - The Artifact Perspective

DTIC Science & Technology

2004-01-01

Risk Management OLD NEW Slide 13Acquisition of Software Intensive Systems 2004 – Peter Hantos Single, basic software paradigm Single processor Low...software risk mitigation related trade-offs must be done together Integral Software Engineering Activities Process Maturity and Quality Frameworks Quality

Tool Use Within NASA Software Quality Assurance

NASA Technical Reports Server (NTRS)

Shigeta, Denise; Port, Dan; Nikora, Allen P.; Wilf, Joel

2013-01-01

As space mission software systems become larger and more complex, it is increasingly important for the software assurance effort to have the ability to effectively assess both the artifacts produced during software system development and the development process itself. Conceptually, assurance is a straightforward idea - it is the result of activities carried out by an organization independent of the software developers to better inform project management of potential technical and programmatic risks, and thus increase management's confidence in the decisions they ultimately make. In practice, effective assurance for large, complex systems often entails assessing large, complex software artifacts (e.g., requirements specifications, architectural descriptions) as well as substantial amounts of unstructured information (e.g., anomaly reports resulting from testing activities during development). In such an environment, assurance engineers can benefit greatly from appropriate tool support. In order to do so, an assurance organization will need accurate and timely information on the tool support available for various types of assurance activities. In this paper, we investigate the current use of tool support for assurance organizations within NASA, and describe on-going work at JPL for providing assurance organizations with the information about tools they need to use them effectively.

The experience factory: Can it make you a 5? or what is its relationship to other quality and improvement concepts?

NASA Technical Reports Server (NTRS)

Basili, Victor R.

1992-01-01

The concepts of quality improvements have permeated many businesses. It is clear that the nineties will be the quality era for software and there is a growing need to develop or adapt quality improvement approaches to the software business. Thus we must understand software as an artifact and software as a business. Since the business we are dealing with is software, we must understand the nature of software and software development. The software discipline is evolutionary and experimental; it is a laboratory science. Software is development not production. The technologies of the discipline are human based. There is a lack of models that allow us to reason about the process and the product. All software is not the same; process is a variable, goals are variable, etc. Packaged, reusable, experiences require additional resources in the form of organization, processes, people, etc. There have been a variety of organizational frameworks proposed to improve quality for various businesses. The ones discussed in this presentation include: Plan-Do-Check-Act, a quality improvement process based upon a feedback cycle for optimizing a single process model/production line; the Experience Factory/Quality Improvement Paradigm, continuous improvements through the experimentation, packaging, and reuse of experiences based upon a business's needs; Total Quality Management, a management approach to long term success through customer satisfaction based on the participation of all members of an organization; the SEI capability maturity model, a staged process improvement based upon assessment with regard to a set of key process areas until you reach a level 5 which represents a continuous process improvement; and Lean (software) Development, a principle supporting the concentration of the production on 'value added' activities and the elimination of reduction of 'not value added' activities.

Establishing Qualitative Software Metrics in Department of the Navy Programs

DTIC Science & Technology

2015-10-29

dedicated to provide the highest quality software to its users. In doing, there is a need for a formalized set of Software Quality Metrics . The goal...of this paper is to establish the validity of those necessary Quality metrics . In our approach we collected the data of over a dozen programs...provide the necessary variable data for our formulas and tested the formulas for validity. Keywords: metrics ; software; quality I. PURPOSE Space

Integrating automated support for a software management cycle into the TAME system

NASA Technical Reports Server (NTRS)

Sunazuka, Toshihiko; Basili, Victor R.

1989-01-01

Software managers are interested in the quantitative management of software quality, cost and progress. An integrated software management methodology, which can be applied throughout the software life cycle for any number purposes, is required. The TAME (Tailoring A Measurement Environment) methodology is based on the improvement paradigm and the goal/question/metric (GQM) paradigm. This methodology helps generate a software engineering process and measurement environment based on the project characteristics. The SQMAR (software quality measurement and assurance technology) is a software quality metric system and methodology applied to the development processes. It is based on the feed forward control principle. Quality target setting is carried out before the plan-do-check-action activities are performed. These methodologies are integrated to realize goal oriented measurement, process control and visual management. A metric setting procedure based on the GQM paradigm, a management system called the software management cycle (SMC), and its application to a case study based on NASA/SEL data are discussed. The expected effects of SMC are quality improvement, managerial cost reduction, accumulation and reuse of experience, and a highly visual management reporting system.

Development of innovative computer software to facilitate the setup and computation of water quality index

PubMed Central

2013-01-01

Background Developing a water quality index which is used to convert the water quality dataset into a single number is the most important task of most water quality monitoring programmes. As the water quality index setup is based on different local obstacles, it is not feasible to introduce a definite water quality index to reveal the water quality level. Findings In this study, an innovative software application, the Iranian Water Quality Index Software (IWQIS), is presented in order to facilitate calculation of a water quality index based on dynamic weight factors, which will help users to compute the water quality index in cases where some parameters are missing from the datasets. Conclusion A dataset containing 735 water samples of drinking water quality in different parts of the country was used to show the performance of this software using different criteria parameters. The software proved to be an efficient tool to facilitate the setup of water quality indices based on flexible use of variables and water quality databases. PMID:24499556

SAGA: A project to automate the management of software production systems

NASA Technical Reports Server (NTRS)

Campbell, Roy H.; Laliberte, D.; Render, H.; Sum, R.; Smith, W.; Terwilliger, R.

1987-01-01

The Software Automation, Generation and Administration (SAGA) project is investigating the design and construction of practical software engineering environments for developing and maintaining aerospace systems and applications software. The research includes the practical organization of the software lifecycle, configuration management, software requirements specifications, executable specifications, design methodologies, programming, verification, validation and testing, version control, maintenance, the reuse of software, software libraries, documentation, and automated management.

A practical tool for monitoring the performance of measuring systems in a laboratory network: report of an ACB Working Group.

PubMed

Ayling, Pete; Hill, Robert; Jassam, Nuthar; Kallner, Anders; Khatami, Zahra

2017-11-01

Background A logical consequence of the introduction of robotics and high-capacity analysers has seen a consolidation to larger units. This requires new structures and quality systems to ensure that laboratories deliver consistent and comparable results. Methods A spreadsheet program was designed to accommodate results from up to 12 different instruments/laboratories and present IQC data, i.e. Levey-Jennings and Youden plots and comprehensive numerical tables of the performance of each item. Input of data was made possible by a 'data loader' by which IQC data from the individual instruments could be transferred to the spreadsheet program on line. Results A set of real data from laboratories is used to populate the data loader and the networking software program. Examples are present from the analysis of variance components, the Levey-Jennings and Youden plots. Conclusions This report presents a software package that allows the simultaneous management and detailed monitoring of the performance of up to 12 different instruments/laboratories in a fully interactive mode. The system allows a quality manager of networked laboratories to have a continuous updated overview of the performance. This software package has been made available at the ACB website.

Quality of Project Management Education and Training Programmes

NASA Astrophysics Data System (ADS)

Bodea, Constanta-Nicoleta; Dascalu, Maria; Coman, Melania

The paper refers to the factors which influence the quality of training and education on project management. A survey was made and the main results are presented. 81 % of the responses came from China. The rest were professionals of different EU nationalities. The percentage of Project Managers who answered the questions is rather low - 8%. In the "Others" category, we have software developers, financial managers and professors, who are involved in both training on project management, but also as team members or team managers in projects, thus ensuring a balanced overview of both theory and practical issues.

Top 10 metrics for life science software good practices.

PubMed

Artaza, Haydee; Chue Hong, Neil; Corpas, Manuel; Corpuz, Angel; Hooft, Rob; Jimenez, Rafael C; Leskošek, Brane; Olivier, Brett G; Stourac, Jan; Svobodová Vařeková, Radka; Van Parys, Thomas; Vaughan, Daniel

2016-01-01

Metrics for assessing adoption of good development practices are a useful way to ensure that software is sustainable, reusable and functional. Sustainability means that the software used today will be available - and continue to be improved and supported - in the future. We report here an initial set of metrics that measure good practices in software development. This initiative differs from previously developed efforts in being a community-driven grassroots approach where experts from different organisations propose good software practices that have reasonable potential to be adopted by the communities they represent. We not only focus our efforts on understanding and prioritising good practices, we assess their feasibility for implementation and publish them here.

Adoption of Requirements Engineering Practices in Malaysian Software Development Companies

NASA Astrophysics Data System (ADS)

Solemon, Badariah; Sahibuddin, Shamsul; Ghani, Abdul Azim Abd

This paper presents exploratory survey results on Requirements Engineering (RE) practices of some software development companies in Malaysia. The survey attempted to identify patterns of RE practices the companies are implementing. Information required for the survey was obtained through a survey, mailed self-administered questionnaires distributed to project managers and software developers who are working at software development companies operated across the country. The results showed that the overall adoption of the RE practices in these companies is strong. However, the results also indicated that fewer companies in the survey have use appropriate CASE tools or software to support their RE process and practices, define traceability policies and maintain traceability manual in their projects.

Top 10 metrics for life science software good practices

PubMed Central

2016-01-01

Metrics for assessing adoption of good development practices are a useful way to ensure that software is sustainable, reusable and functional. Sustainability means that the software used today will be available - and continue to be improved and supported - in the future. We report here an initial set of metrics that measure good practices in software development. This initiative differs from previously developed efforts in being a community-driven grassroots approach where experts from different organisations propose good software practices that have reasonable potential to be adopted by the communities they represent. We not only focus our efforts on understanding and prioritising good practices, we assess their feasibility for implementation and publish them here. PMID:27635232

Organisational quality, nurse staffing and the quality of chronic disease management in primary care: observational study using routinely collected data.

PubMed

Griffiths, Peter; Maben, Jill; Murrells, Trevor

2011-10-01

An association between quality of care and staffing levels, particularly registered nurses, has been established in acute hospitals. Recently an association between nurse staffing and quality of care for several chronic conditions has also been demonstrated for primary care in English general practice. A smaller body of literature identifies organisational factors, in particular issues of human resource management, as being a dominant factor. However the literature has tended to consider staffing and organisational factors separately. We aim to determine whether relationships between the quality of clinical care and nurse staffing in general practice are attenuated or enhanced when organisational factors associated with quality of care are considered. We further aim to determine the relative contribution and interaction between these factors. We used routinely collected data from 8409 English general practices. The data, on organisational factors and the quality of clinical care for a range of long term conditions, is gathered as part of "Quality and Outcomes Framework" pay for performance system. Regression models exploring the relationship of staffing and organisational factors with care quality were fitted using MPLUS statistical modelling software. Higher levels of nurse staffing, clinical recording, education and reflection on the results of patient surveys were significantly associated with improved clinical care for COPD, CHD, Diabetes and Hypothyroidism after controlling for organisational factors. There was some evidence of attenuation of the estimated nurse staffing effect when organisational factors were considered, but this was small. The effect of staffing interacted significantly with the effect of organisational factors. Overall however, the characteristics that emerged as the strongest predictors of quality of clinical care were not staffing levels but the organisational factors of clinical recording, education and training and use of patient experience surveys. Organisational factors contribute significantly to observed variation in the quality of care in English general practices. Levels of nurse staffing have an independent association with quality but also interact with organisational factors. The observed relationships are not necessarily causal but a causal relationship is plausible. The benefits and importance of education, training and personal development of nursing and other practice staff was clearly indicated. Copyright © 2011. Published by Elsevier Ltd.

Master Pump Shutdown MPS Software Quality Assurance Plan (SQAP)

DOE Office of Scientific and Technical Information (OSTI.GOV)

BEVINS, R.R.

2000-09-20

The MPSS Software Quality Assurance (SQAP) describes the tools and strategy used in the development of the MPSS software. The document also describes the methodology for controlling and managing changes to the software.

Educational Video Recording and Editing for The Hand Surgeon

PubMed Central

Rehim, Shady A.; Chung, Kevin C.

2016-01-01

Digital video recordings are increasingly used across various medical and surgical disciplines including hand surgery for documentation of patient care, resident education, scientific presentations and publications. In recent years, the introduction of sophisticated computer hardware and software technology has simplified the process of digital video production and improved means of disseminating large digital data files. However, the creation of high quality surgical video footage requires basic understanding of key technical considerations, together with creativity and sound aesthetic judgment of the videographer. In this article we outline the practical steps involved with equipment preparation, video recording, editing and archiving as well as guidance for the choice of suitable hardware and software equipment. PMID:25911212

HDTS 2017.1 Testing and Verification Document

DOE Office of Scientific and Technical Information (OSTI.GOV)

Whiteside, T.

2017-12-01

This report is a continuation of the series of Hunter Dose Tracking System (HDTS) Quality Assurance documents including (Foley and Powell, 2010; Dixon, 2012; Whiteside, 2017b). In this report we have created a suite of automated test cases and a system to analyze the results of those tests as well as documented the methodology to ensure the field system performs within specifications. The software test cases cover all of the functions and interactions of functions that are practical to test. With the developed framework, if software defects are discovered, it will be easy to create one or more test casesmore » to reproduce the defect and ensure that code changes correct the defect.« less

Software Quality and Copyright: Issues in Computer-Assisted Instruction.

ERIC Educational Resources Information Center

Helm, Virginia

The two interconnected problems of educational quality and piracy are described and analyzed in this book, which begins with an investigation of the accusations regarding the alleged dismal quality of educational software. The reality behind accusations of rampant piracy and the effect of piracy on the quality of educational software is examined…

Custom software development for use in a clinical laboratory

PubMed Central

Sinard, John H.; Gershkovich, Peter

2012-01-01

In-house software development for use in a clinical laboratory is a controversial issue. Many of the objections raised are based on outdated software development practices, an exaggeration of the risks involved, and an underestimation of the benefits that can be realized. Buy versus build analyses typically do not consider total costs of ownership, and unfortunately decisions are often made by people who are not directly affected by the workflow obstacles or benefits that result from those decisions. We have been developing custom software for clinical use for over a decade, and this article presents our perspective on this practice. A complete analysis of the decision to develop or purchase must ultimately examine how the end result will mesh with the departmental workflow, and custom-developed solutions typically can have the greater positive impact on efficiency and productivity, substantially altering the decision balance sheet. Involving the end-users in preparation of the functional specifications is crucial to the success of the process. A large development team is not needed, and even a single programmer can develop significant solutions. Many of the risks associated with custom development can be mitigated by a well-structured development process, use of open-source tools, and embracing an agile development philosophy. In-house solutions have the significant advantage of being adaptable to changing departmental needs, contributing to efficient and higher quality patient care. PMID:23372985

Custom software development for use in a clinical laboratory.

PubMed

Sinard, John H; Gershkovich, Peter

2012-01-01

In-house software development for use in a clinical laboratory is a controversial issue. Many of the objections raised are based on outdated software development practices, an exaggeration of the risks involved, and an underestimation of the benefits that can be realized. Buy versus build analyses typically do not consider total costs of ownership, and unfortunately decisions are often made by people who are not directly affected by the workflow obstacles or benefits that result from those decisions. We have been developing custom software for clinical use for over a decade, and this article presents our perspective on this practice. A complete analysis of the decision to develop or purchase must ultimately examine how the end result will mesh with the departmental workflow, and custom-developed solutions typically can have the greater positive impact on efficiency and productivity, substantially altering the decision balance sheet. Involving the end-users in preparation of the functional specifications is crucial to the success of the process. A large development team is not needed, and even a single programmer can develop significant solutions. Many of the risks associated with custom development can be mitigated by a well-structured development process, use of open-source tools, and embracing an agile development philosophy. In-house solutions have the significant advantage of being adaptable to changing departmental needs, contributing to efficient and higher quality patient care.

The relationship between quality management practices and organisational performance: A structural equation modelling approach

NASA Astrophysics Data System (ADS)

Jamaluddin, Z.; Razali, A. M.; Mustafa, Z.

2015-02-01

The purpose of this paper is to examine the relationship between the quality management practices (QMPs) and organisational performance for the manufacturing industry in Malaysia. In this study, a QMPs and organisational performance framework is developed according to a comprehensive literature review which cover aspects of hard and soft quality factors in manufacturing process environment. A total of 11 hypotheses have been put forward to test the relationship amongst the six constructs, which are management commitment, training, process management, quality tools, continuous improvement and organisational performance. The model is analysed using Structural Equation Modeling (SEM) with AMOS software version 18.0 using Maximum Likelihood (ML) estimation. A total of 480 questionnaires were distributed, and 210 questionnaires were valid for analysis. The results of the modeling analysis using ML estimation indicate that the fits statistics of QMPs and organisational performance model for manufacturing industry is admissible. From the results, it found that the management commitment have significant impact on the training and process management. Similarly, the training had significant effect to the quality tools, process management and continuous improvement. Furthermore, the quality tools have significant influence on the process management and continuous improvement. Likewise, the process management also has a significant impact to the continuous improvement. In addition the continuous improvement has significant influence the organisational performance. However, the results of the study also found that there is no significant relationship between management commitment and quality tools, and between the management commitment and continuous improvement. The results of the study can be used by managers to prioritize the implementation of QMPs. For instances, those practices that are found to have positive impact on organisational performance can be recommended to managers so that they can allocate resources to improve these practices to get better performance.

Requirements and Their Impact Downstream: Improving Casual Analysis Processes Through Measurement and Analysis of Textual Information

DTIC Science & Technology

2008-09-01

re-considered for future use in the PCRs. Its reintroduction should be accompanied with more adequate support for selecting appropriate quality...cnr.it/Papers/ODBASE- CONTEXT.pdf. [Goethert 2007] Goethert, Wolf & Goldenson, Dennis. "Implementing CMMI® Measurement & Analysis Using Goal-Driven...9th Annual Practical Software and Systems Measurement Users’ Group Conference. Keystone, Colorado , July 2005. [Monarch 1995] Ira A. Monarch. An

The NCC project: A quality management perspective

NASA Technical Reports Server (NTRS)

Lee, Raymond H.

1993-01-01

The Network Control Center (NCC) Project introduced the concept of total quality management (TQM) in mid-1990. The CSC project team established a program which focused on continuous process improvement in software development methodology and consistent deliveries of high quality software products for the NCC. The vision of the TQM program was to produce error free software. Specific goals were established to allow continuing assessment of the progress toward meeting the overall quality objectives. The total quality environment, now a part of the NCC Project culture, has become the foundation for continuous process improvement and has resulted in the consistent delivery of quality software products over the last three years.

Software engineering standards and practices

NASA Technical Reports Server (NTRS)

Durachka, R. W.

1981-01-01

Guidelines are presented for the preparation of a software development plan. The various phases of a software development project are discussed throughout its life cycle including a general description of the software engineering standards and practices to be followed during each phase.

Best Practices for Reduction of Uncertainty in CFD Results

NASA Technical Reports Server (NTRS)

Mendenhall, Michael R.; Childs, Robert E.; Morrison, Joseph H.

2003-01-01

This paper describes a proposed best-practices system that will present expert knowledge in the use of CFD. The best-practices system will include specific guidelines to assist the user in problem definition, input preparation, grid generation, code selection, parameter specification, and results interpretation. The goal of the system is to assist all CFD users in obtaining high quality CFD solutions with reduced uncertainty and at lower cost for a wide range of flow problems. The best-practices system will be implemented as a software product which includes an expert system made up of knowledge databases of expert information with specific guidelines for individual codes and algorithms. The process of acquiring expert knowledge is discussed, and help from the CFD community is solicited. Benefits and challenges associated with this project are examined.

Social representations of older adults regarding quality of life.

PubMed

Ferreira, Marielle Cristina Gonçalves; Tura, Luiz Fernando Rangel; Silva, Rafael Celestino da; Ferreira, Márcia de Assunção

2017-01-01

to identify the social representations of older adults regarding quality of life, and to analyze the care practices adopted to promote it. qualitative, exploratory, descriptive research, applying the Theory of Social Representations. Thirty older people from a Health Academy of Rio de Janeiro participated in the study. The software Alceste was used, and lexical analysis of data was performed. social representations of quality of life are based on the social determinants of health; they evidence knowledge and practices of care by valuing physical activities. The practices promoting quality of life comprise healthy eating habits, daily physical exercise, social participation, interaction and socialization, accomplishment of leisure activities and daily tasks with independence and autonomy, and support and family contact. the elderly have a global understanding of the concept of quality of life, coordinate knowledge built in daily life and knowledge coming from the technical-professional field, which evidences the multidimensionality of the concept. identificar as representações sociais de idosos sobre qualidade de vida e analisar as práticas de cuidado por eles adotadas para promovê-la. pesquisa qualitativa, exploratória, descritiva, com aplicação da Teoria das Representações Sociais. Participaram 30 idosos de uma Academia Carioca de Saúde. Utilizou-se o software Alceste e realizou-se análise lexical dos dados. As representações sociais de qualidade de vida sustentam-se nos determinantes sociais de saúde, evidenciam saberes e práticas de cuidado, com valorização de atividades físicas. As práticas promotoras de qualidade de vida congregam hábitos alimentares saudáveis, exercícios físicos diários, participação social, convívio e interação, realização de atividades de lazer e tarefas cotidianas com independência e autonomia, apoio e contato familiar. Os idosos têm uma compreensão global do conceito de qualidade de vida, articulam saberes construídos no cotidiano e advindos do campo técnico-profissional, o que evidencia a multidimensionalidade do conceito.

Hydrology for Engineers, Geologists, and Environmental Professionals

NASA Astrophysics Data System (ADS)

Ince, Simon

For people who are involved in the applied aspects of hydrology, it is refreshing to find a textbook that begins with a meaningful disclaimer, albeit in fine print on the back side of the frontispiece:“The present book and the accompanying software have been written according to the latest techniques in scientific hydrology. However, hydrology is at best an inexact science. A good book and a good computer software by themselves do not guarantee accurate or even realistic predictions. Acceptable results in the applications of hydrologic methods to engineering and environmental problems depend to a greater extend (sic) on the skills, logical assumptions, and practical experience of the user, and on the quantity and quality of long-term hydrologic data available. Neither the author nor the publisher assumes any responsibility or any liability, explicitly or implicitly, on the results or the consequences of using the information contained in this book or its accompanying software.”

[Social representations of elders' quality of life].

PubMed

Silva, Luípa Michele; Silva, Antonia Oliveira; Tura, Luiz Fernando Rangel; Moreira, Maria Adelaide Silva Paredes; Rodrigues, Rosalina Aparecida Partezani; Marques, Maria do Céu

2012-03-01

This study aimed to identify elders' social representations of quality of life. This is an exploratory study with a sample of 240 elders, of both sexes. For data collection we used a Free Association Test with Words, using the inductive stimulus 'quality of life" and sociodemographic variables. The interviews were analyzed with the software Alceste. Of the 240 studied eslders, 167 were women, with the dominant age from 60 to 69 years, income between two and three minimum wages, most of the married and with catholicism as the predominant religion. The results from Alceste pointed towards seven hierarchical classes: accessibility, work, activity, support affection, care and interactions. Social representations of quality of life by elders can support professionals in understanding the adhesion to preventive practices for the elderly and in strengthening policies directed to this population.

Earth Science Informatics Community Requirements for Improving Sustainable Science Software Practices: User Perspectives and Implications for Organizational Action

NASA Astrophysics Data System (ADS)

Downs, R. R.; Lenhardt, W. C.; Robinson, E.

2014-12-01

Science software is integral to the scientific process and must be developed and managed in a sustainable manner to ensure future access to scientific data and related resources. Organizations that are part of the scientific enterprise, as well as members of the scientific community who work within these entities, can contribute to the sustainability of science software and to practices that improve scientific community capabilities for science software sustainability. As science becomes increasingly digital and therefore, dependent on software, improving community practices for sustainable science software will contribute to the sustainability of science. Members of the Earth science informatics community, including scientific data producers and distributers, end-user scientists, system and application developers, and data center managers, use science software regularly and face the challenges and the opportunities that science software presents for the sustainability of science. To gain insight on practices needed for the sustainability of science software from the science software experiences of the Earth science informatics community, an interdisciplinary group of 300 community members were asked to engage in simultaneous roundtable discussions and report on their answers to questions about the requirements for improving scientific software sustainability. This paper will present an analysis of the issues reported and the conclusions offered by the participants. These results provide perspectives for science software sustainability practices and have implications for actions that organizations and their leadership can initiate to improve the sustainability of science software.

Ethical choice in the medical applications of information theory.

PubMed

Haig, Scott V

2010-10-01

Alongside advances in medical information technology (IT), there is mounting physician and patient dissatisfaction with present-day clinical practice. The effect of introducing increasingly complex medical IT on the ethical dimension of the clinical physician's primary task (identified as direct patient care) can be scrutinized through analysis of the EMR software platform. We therefore (1) identify IT changes burdensome to the clinician in performing patient care and which therefore lower quality of care; and (2) suggest methods for clinicians to maintain high quality patient care as IT demands increase. Elemental relationships from information theory and physical chemistry are applied to the profit-generating creation and flow of medical information between patients, physicians, administrators, suppliers, and insurers. Ethical implications for patient care and the doctor-patient relationship are drawn in the light of these relationships. WHERE ARE WE NOW?: Little has been accomplished, or even discussed, regarding limiting healthcare IT growth. Quality of patient care is expected to suffer unless physicians carefully scrutinize, refine and occasionally reject portions of the increasing healthcare IT burden being placed upon them. WHERE DO WE NEED TO GO?: Better medicine, simply understood as more effective prevention and treatment of musculoskeletal disease, is our professional goal. We need to establish mechanisms whereby we can limit, control or even reverse IT changes that hinder this goal. Clinicians must confront the negative impact many healthcare IT changes have on patient care. HOW DO WE GET THERE?: Suggestions for maintaining high standards of practice in the face of the new IT burden include: (1) Increasing IT time-awareness. Clinicians should examine actual time spent in clinical versus computer-based activity and implement changes if that ratio is too high. (2) Increasing IT goal awareness. (3) Examine the software creating a medical record to see how much of what it records is there for financial, as opposed to medical reasons. Is the software helping my patient or someone else's bottom line? Is it for talking to colleagues about sick people or to insurance companies?

The impact of software quality characteristics on healthcare outcome: a literature review.

PubMed

Aghazadeh, Sakineh; Pirnejad, Habibollah; Moradkhani, Alireza; Aliev, Alvosat

2014-01-01

The aim of this study was to discover the effect of software quality characteristics on healthcare quality and efficiency indicators. Through a systematic literature review, we selected and analyzed 37 original research papers to investigate the impact of the software indicators (coming from the standard ISO 9126 quality characteristics and sub-characteristics) on some of healthcare important outcome indicators and finally ranked these software indicators. The results showed that the software characteristics usability, reliability and efficiency were mostly favored in the studies, indicating their importance. On the other hand, user satisfaction, quality of patient care, clinical workflow efficiency, providers' communication and information exchange, patient satisfaction and care costs were among the healthcare outcome indicators frequently evaluated in relation to the mentioned software characteristics. Regression Logistic Method was the most common assessment methodology, and Confirmatory Factor Analysis and Structural Equation Modeling were performed to test the structural model's fit. The software characteristics were considered to impact the healthcare outcome indicators through other intermediate factors (variables).

The Impact of Software Culture on the Management of Community Data

NASA Astrophysics Data System (ADS)

Collins, J. A.; Pulsifer, P. L.; Sheffield, E.; Lewis, S.; Oldenburg, J.

2013-12-01

The Exchange for Local Observations and Knowledge of the Arctic (ELOKA), a program hosted at the National Snow and Ice Data Center (NSIDC), supports the collection, curation, and distribution of Local and Traditional Knowledge (LTK) data, as well as some quantitative data products. Investigations involving LTK data often involve community participation, and therefore require flexible and robust user interfaces to support a reliable process of data collection and management. Often, investigators focused on LTK and community-based monitoring choose to use ELOKA's data services based on our ability to provide rapid proof-of-concepts and economical delivery of a usable product. To satisfy these two overarching criteria, ELOKA is experimenting with modifications to its software development culture both in terms of how the software applications are developed as well as the kind of software applications (or components) being developed. Over the past several years, NSIDC has shifted its software development culture from one of assigning individual scientific programmers to support particular principal investigators or projects, to an Agile Software Methodology implementation using Scrum practices. ELOKA has participated in this process by working with other product owners to schedule and prioritize development work which is then implemented by a team of application developers. Scrum, along with practices such as Test Driven Development (TDD) and paired programming, improves the quality of the software product delivered to the user community. To meet the need for rapid prototyping and to maximize product development and support with limited developer input, our software development efforts are now focused on creating a platform of application modules that can be quickly customized to suit the needs of a variety of LTK projects. This approach is in contrast to the strategy of delivering custom applications for individual projects. To date, we have integrated components of the Nunaliit Atlas framework (a Java/JavaScript client-server web-based application) with an existing Ruby on Rails application. This approach requires transitioning individual applications to expose a service layer, thus allowing interapplication communication via RESTful services. In this presentation we will report on our experiences using Agile Scrum practices, our efforts to move from custom solutions to a platform of customizable modules, and the impact of each on our ability to support researchers and Arctic residents in the domain of community-based observations and knowledge.

Quality Assurance in Software Development: An Exploratory Investigation in Software Project Failures and Business Performance

ERIC Educational Resources Information Center

Ichu, Emmanuel A.

2010-01-01

Software quality is perhaps one of the most sought-after attributes in product development, however; this goal is unattained. Problem factors in software development and how these have affected the maintainability of the delivered software systems requires a thorough investigation. It was, therefore, very important to understand software…

Software Process Improvement through the Removal of Project-Level Knowledge Flow Obstacles: The Perceptions of Software Engineers

ERIC Educational Resources Information Center

Mitchell, Susan Marie

2012-01-01

Uncontrollable costs, schedule overruns, and poor end product quality continue to plague the software engineering field. Innovations formulated with the expectation to minimize or eliminate cost, schedule, and quality problems have generally fallen into one of three categories: programming paradigms, software tools, and software process…

Conducting remote bioanalytical data monitoring and review based on scientific quality objectives.

PubMed

He, Ling

2011-07-01

For bioanalytical laboratories that follow GLP regulations and generate data for new drug filing, ensuring quality standards set by regulatory guidance is a fundamental expectation. Numerous guidelines and White Papers have been published by regulatory agencies, professional working groups and field experts in the past two decades, and have significantly improved the standards of good practices for bioanalysis. From a sponsor's perspective, continuous quality monitoring of the data generated by CRO laboratories, identifying adverse trends and taking corrective and preventative actions against issues encountered, are critical aspects of effective bioanalytical outsourcing management. This is especially important for clinical bioanalysis, where one validated assay is applied for analyzing a large number of samples of diverse demographics and disease states. This perspective article presents thoughts toward remote data monitoring and its merits for scientific quality oversight, and introduces a novel Bioanalytical Data Review software that was custom-developed and platform-neural, to conduct remote data monitoring on raw or processed LC-MS/MS data from CROs. Flexible, adaptive and user-customizable queries are applied for conducting project-, batch- and sample-level data review based on scientific quality performance factors commonly assessed for good bioanalytical practice.

Spatiotemporal matrix image formation for programmable ultrasound scanners

NASA Astrophysics Data System (ADS)

Berthon, Beatrice; Morichau-Beauchant, Pierre; Porée, Jonathan; Garofalakis, Anikitos; Tavitian, Bertrand; Tanter, Mickael; Provost, Jean

2018-02-01

As programmable ultrasound scanners become more common in research laboratories, it is increasingly important to develop robust software-based image formation algorithms that can be obtained in a straightforward fashion for different types of probes and sequences with a small risk of error during implementation. In this work, we argue that as the computational power keeps increasing, it is becoming practical to directly implement an approximation to the matrix operator linking reflector point targets to the corresponding radiofrequency signals via thoroughly validated and widely available simulations software. Once such a spatiotemporal forward-problem matrix is constructed, standard and thus highly optimized inversion procedures can be leveraged to achieve very high quality images in real time. Specifically, we show that spatiotemporal matrix image formation produces images of similar or enhanced quality when compared against standard delay-and-sum approaches in phantoms and in vivo, and show that this approach can be used to form images even when using non-conventional probe designs for which adapted image formation algorithms are not readily available.

The Effectiveness of Software Project Management Practices: A Quantitative Measurement

DTIC Science & Technology

2011-03-01

Assessment (SPMMA) model ( Ramli , 2007). The purpose of the SPMMA was to help a company measure the strength and weaknesses of its software project...Practices,” Fuazi and Ramli presented a model to assess software project management practices using their Software Project Management Maturity...Analysis The SPMMA was carried out on one mid-size Information Technology (IT) Company . Based on the questionnaire responses, interviews and discussions

"Quality of prenatal and maternal care: bridging the know-do gap" (QUALMAT study): an electronic clinical decision support system for rural Sub-Saharan Africa.

PubMed

Blank, Antje; Prytherch, Helen; Kaltschmidt, Jens; Krings, Andreas; Sukums, Felix; Mensah, Nathan; Zakane, Alphonse; Loukanova, Svetla; Gustafsson, Lars L; Sauerborn, Rainer; Haefeli, Walter E

2013-04-10

Despite strong efforts to improve maternal care, its quality remains deficient in many countries of Sub-Saharan Africa as persistently high maternal mortality rates testify. The QUALMAT study seeks to improve the performance and motivation of rural health workers and ultimately quality of primary maternal health care services in three African countries Burkina Faso, Ghana, and Tanzania. One major intervention is the introduction of a computerized Clinical Decision Support System (CDSS) for rural primary health care centers to be used by health care workers of different educational levels. A stand-alone, java-based software, able to run on any standard hardware, was developed based on assessment of the health care situation in the involved countries. The software scope was defined and the final software was programmed under consideration of test experiences. Knowledge for the decision support derived from the World Health Organization (WHO) guideline "Pregnancy, Childbirth, Postpartum and Newborn Care; A Guide for Essential Practice". The QUALMAT CDSS provides computerized guidance and clinical decision support for antenatal care, and care during delivery and up to 24 hours post delivery. The decision support is based on WHO guidelines and designed using three principles: (1) Guidance through routine actions in maternal and perinatal care, (2) integration of clinical data to detect situations of concern by algorithms, and (3) electronic tracking of peri- and postnatal activities. In addition, the tool facilitates patient management and is a source of training material. The implementation of the software, which is embedded in a set of interventions comprising the QUALMAT study, is subject to various research projects assessing and quantifying the impact of the CDSS on quality of care, the motivation of health care staff (users) and its health economic aspects. The software will also be assessed for its usability and acceptance, as well as for its influence on workflows in the rural setting of primary health care in the three countries involved. The development and implementation of a CDSS in rural primary health care centres presents challenges, which may be overcome with careful planning and involvement of future users at an early stage. A tailored software with stable functionality should offer perspectives to improve maternal care in resource-poor settings.

Improvement of Computer Software Quality through Software Automated Tools.

DTIC Science & Technology

1986-08-31

requirement for increased emphasis on software quality assurance has lead to the creation of various methods of verification and validation. Experience...result was a vast array of methods , systems, languages and automated tools to assist in the process. Given that the primary role of quality assurance is...Unfortunately, there is no single method , tool or technique that can insure accurate, reliable and cost effective software. Therefore, government and industry

ISEES: an institute for sustainable software to accelerate environmental science

NASA Astrophysics Data System (ADS)

Jones, M. B.; Schildhauer, M.; Fox, P. A.

2013-12-01

Software is essential to the full science lifecycle, spanning data acquisition, processing, quality assessment, data integration, analysis, modeling, and visualization. Software runs our meteorological sensor systems, our data loggers, and our ocean gliders. Every aspect of science is impacted by, and improved by, software. Scientific advances ranging from modeling climate change to the sequencing of the human genome have been rendered possible in the last few decades due to the massive improvements in the capabilities of computers to process data through software. This pivotal role of software in science is broadly acknowledged, while simultaneously being systematically undervalued through minimal investments in maintenance and innovation. As a community, we need to embrace the creation, use, and maintenance of software within science, and address problems such as code complexity, openness,reproducibility, and accessibility. We also need to fully develop new skills and practices in software engineering as a core competency in our earth science disciplines, starting with undergraduate and graduate education and extending into university and agency professional positions. The Institute for Sustainable Earth and Environmental Software (ISEES) is being envisioned as a community-driven activity that can facilitate and galvanize activites around scientific software in an analogous way to synthesis centers such as NCEAS and NESCent that have stimulated massive advances in ecology and evolution. We will describe the results of six workshops (Science Drivers, Software Lifecycles, Software Components, Workforce Development and Training, Sustainability and Governance, and Community Engagement) that have been held in 2013 to envision such an institute. We will present community recommendations from these workshops and our strategic vision for how ISEES will address the technical issues in the software lifecycle, sustainability of the whole software ecosystem, and the critical issue of computational training for the scientific community. Process for envisioning ISEES.

A Role-Playing Game for a Software Engineering Lab: Developing a Product Line

ERIC Educational Resources Information Center

Zuppiroli, Sara; Ciancarini, Paolo; Gabbrielli, Maurizio

2012-01-01

Software product line development refers to software engineering practices and techniques for creating families of similar software systems from a basic set of reusable components, called shared assets. Teaching how to deal with software product lines in a university lab course is a challenging task, because there are several practical issues that…

Software ``Best'' Practices: Agile Deconstructed

NASA Astrophysics Data System (ADS)

Fraser, Steven

Software “best” practices depend entirely on context - in terms of the problem domain, the system constructed, the software designers, and the “customers” ultimately deriving value from the system. Agile practices no longer have the luxury of “choosing” small non-mission critical projects with co-located teams. Project stakeholders are selecting and adapting practices based on a combina tion of interest, need and staffing. For example, growing product portfolios through a merger or the acquisition of a company exposes legacy systems to new staff, new software integration challenges, and new ideas. Innovation in communications (tools and processes) to span the growth and contraction of both information and organizations, while managing the adoption of changing software practices, is imperative for success. Traditional web-based tools such as web pages, document libraries, and forums are not suf ficient. A blend of tweeting, blogs, wikis, instant messaging, web-based confer encing, and telepresence creates a new dimension of communication “best” practices.

Practical Software Measurement: Measuring for Process Management and Improvement,

DTIC Science & Technology

1997-04-01

Ishikawa , Kaoru . Guide to Quality Control, Second Revised Edition. White Plains, N.Y.: UNIPUB-Kraus International Publications, 1986. CMU/SEI-97...begin, you may want to assemble a group of people who work within the process to brainstorm possible reasons for the unusual behavior. Ishikawa charts...control limits and center line. • Cause-and-effect diagrams (also know as Ishikawa charts) allow you to probe for, map, and prioritize a set of factors

Software Quality Assurance and the Fleet Material Support Environment.

DTIC Science & Technology

1982-06-01

is one of utility; each factor identified could be applied to :t production environment. The interaction of support groups within an operational...ship-support functio2s. It is comprised of aoproxi- mately 250 people and is i furctionally oriented department. The Financial Sistems Desian and...that t h-, following specific conditions ?xist: 1. Poorly Defined Regu-rements/Speci-fica:-4ons a) FM1SO design procedures/practices tend to be appli

A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records.

PubMed

Idri, Ali; Bachiri, Mariam; Fernández-Alemán, José Luis

2016-03-01

Stakeholders' needs and expectations are identified by means of software quality requirements, which have an impact on software product quality. In this paper, we present a set of requirements for mobile personal health records (mPHRs) for pregnancy monitoring, which have been extracted from literature and existing mobile apps on the market. We also use the ISO/IEC 25030 standard to suggest the requirements that should be considered during the quality evaluation of these mPHRs. We then go on to design a checklist in which we contrast the mPHRs for pregnancy monitoring requirements with software product quality characteristics and sub-characteristics in order to calculate the impact of these requirements on software product quality, using the ISO/IEC 25010 software product quality standard. The results obtained show that the requirements related to the user's actions and the app's features have the most impact on the external sub-characteristics of the software product quality model. The only sub-characteristic affected by all the requirements is Appropriateness of Functional suitability. The characteristic Operability is affected by 95% of the requirements while the lowest degrees of impact were identified for Compatibility (15%) and Transferability (6%). Lastly, the degrees of the impact of the mPHRs for pregnancy monitoring requirements are discussed in order to provide appropriate recommendations for the developers and stakeholders of mPHRs for pregnancy monitoring.

Software quality: Process or people

NASA Technical Reports Server (NTRS)

Palmer, Regina; Labaugh, Modenna

1993-01-01

This paper will present data related to software development processes and personnel involvement from the perspective of software quality assurance. We examine eight years of data collected from six projects. Data collected varied by project but usually included defect and fault density with limited use of code metrics, schedule adherence, and budget growth information. The data are a blend of AFSCP 800-14 and suggested productivity measures in Software Metrics: A Practioner's Guide to Improved Product Development. A software quality assurance database tool, SQUID, was used to store and tabulate the data.

Are Earth System model software engineering practices fit for purpose? A case study.

NASA Astrophysics Data System (ADS)

Easterbrook, S. M.; Johns, T. C.

2009-04-01

We present some analysis and conclusions from a case study of the culture and practices of scientists at the Met Office and Hadley Centre working on the development of software for climate and Earth System models using the MetUM infrastructure. The study examined how scientists think about software correctness, prioritize their requirements in making changes, and develop a shared understanding of the resulting models. We conclude that highly customized techniques driven strongly by scientific research goals have evolved for verification and validation of such models. In a formal software engineering context these represents costly, but invaluable, software integration tests with considerable benefits. The software engineering practices seen also exhibit recognisable features of both agile and open source software development projects - self-organisation of teams consistent with a meritocracy rather than top-down organisation, extensive use of informal communication channels, and software developers who are generally also users and science domain experts. We draw some general conclusions on whether these practices work well, and what new software engineering challenges may lie ahead as Earth System models become ever more complex and petascale computing becomes the norm.

Cost Estimation of Software Development and the Implications for the Program Manager

DTIC Science & Technology

1992-06-01

Software Lifecycle Model (SLIM), the Jensen System-4 model, the Software Productivity, Quality, and Reliability Estimator ( SPQR \\20), the Constructive...function models in current use are the Software Productivity, Quality, and Reliability Estimator ( SPQR /20) and the Software Architecture Sizing and...Estimator ( SPQR /20) was developed by T. Capers Jones of Software Productivity Research, Inc., in 1985. The model is intended to estimate the outcome

Development of electronic software for the management of trauma patients on the orthopaedic unit.

PubMed

Patel, Vishal P; Raptis, Demitri; Christofi, T; Mathew, Rajeev; Horwitz, M D; Eleftheriou, K; McGovern, Paul D; Youngman, J; Patel, J V; Haddad, F S

2009-04-01

Continuity of patient care is an essential prerequisite for the successful running of a trauma surgery service. This is becoming increasingly difficult because of the new working arrangements of junior doctors. Handover is now central to ensure continuity of care following shift change over. The purpose of this study was to compare the quality of information handed over using the traditional ad hoc method of a handover sheet versus a web-based electronic software programme. It was hoped that through improved quality of handover the new system would have a positive impact on clinical care, risk and time management. Data was prospectively collected and analyzed using the SPSS 14 statistical package. The handover data of 350 patients using a paper-based system was compared to the data of 357 cases using the web-based system. Key data included basic demographic data, responsible surgeon, location of patient, injury site including site, whether fractures were open or closed, concomitant injuries and the treatment plan. A survey was conducted amongst health care providers to assess the impact of the new software. With the introduction of the electronic handover system, patients with missing demographic data reduced from 35.1% to 0.8% (p<0.0001) and missing patient location from 18.6% to 3.6% (p<0.0001). Missing consultant information and missing diagnosis dropped from 12.9% to 2.0% (p<0.0001) and from 11.7% to 0.8% (p<0.0001), respectively. The missing information regarding side and anatomical site of the injury was reduced from 31.4% to 0.8% (p<0.0001) and from 13.7% to 1.1% (p<0.0001), respectively. In 96.6% of paper ad hoc handovers it was not stated whether the injury was 'closed' or 'open', whereas in the electronic group this information was evident in all 357 patients (p<0.0001). A treatment plan was included only in 52.3% of paper handovers compared to 94.7% (p<0.0001) of electronic handovers. A survey revealed 96% of members of the trauma team felt an improvement of handover since the introduction of the software, and 94% of members were satisfied with the software. The findings of our study show that the use of web-based electronic software is effective in facilitating and improving the quality of information passed during handover. Structured software also aids in improving work flow amongst the trauma team. We argue that an improvement in the quality of handover is an improvement in clinical practice.

Verification of Decision-Analytic Models for Health Economic Evaluations: An Overview.

PubMed

Dasbach, Erik J; Elbasha, Elamin H

2017-07-01

Decision-analytic models for cost-effectiveness analysis are developed in a variety of software packages where the accuracy of the computer code is seldom verified. Although modeling guidelines recommend using state-of-the-art quality assurance and control methods for software engineering to verify models, the fields of pharmacoeconomics and health technology assessment (HTA) have yet to establish and adopt guidance on how to verify health and economic models. The objective of this paper is to introduce to our field the variety of methods the software engineering field uses to verify that software performs as expected. We identify how many of these methods can be incorporated in the development process of decision-analytic models in order to reduce errors and increase transparency. Given the breadth of methods used in software engineering, we recommend a more in-depth initiative to be undertaken (e.g., by an ISPOR-SMDM Task Force) to define the best practices for model verification in our field and to accelerate adoption. Establishing a general guidance for verifying models will benefit the pharmacoeconomics and HTA communities by increasing accuracy of computer programming, transparency, accessibility, sharing, understandability, and trust of models.

Evaluating software development characteristics: Assessment of software measures in the Software Engineering Laboratory. [reliability engineering

NASA Technical Reports Server (NTRS)

Basili, V. R.

1981-01-01

Work on metrics is discussed. Factors that affect software quality are reviewed. Metrics is discussed in terms of criteria achievements, reliability, and fault tolerance. Subjective and objective metrics are distinguished. Product/process and cost/quality metrics are characterized and discussed.

Automated daily quality control analysis for mammography in a multi-unit imaging center.

PubMed

Sundell, Veli-Matti; Mäkelä, Teemu; Meaney, Alexander; Kaasalainen, Touko; Savolainen, Sauli

2018-01-01

Background The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods An automated image quality analysis software using the discrete wavelet transform and multiresolution analysis was developed for the American College of Radiology accreditation phantom. The software was validated by analyzing 60 randomly selected phantom images from six mammography systems and 20 phantom images with different dose levels from one mammography system. The results were compared to a visual analysis made by four reviewers. Additionally, long-term image quality trends of a full-field digital mammography system and a computed radiography mammography system were investigated. Results The automated software produced feature detection levels comparable to visual analysis. The agreement was good in the case of fibers, while the software detected somewhat more microcalcifications and characteristic masses. Long-term follow-up via a quality assurance web portal demonstrated the feasibility of using the software for monitoring the performance of mammography systems in a multi-unit imaging center. Conclusion Automated image quality analysis enables monitoring the performance of digital mammography systems in an efficient, centralized manner.

Test Driven Development of Scientific Models

NASA Technical Reports Server (NTRS)

Clune, Thomas L.

2012-01-01

Test-Driven Development (TDD) is a software development process that promises many advantages for developer productivity and has become widely accepted among professional software engineers. As the name suggests, TDD practitioners alternate between writing short automated tests and producing code that passes those tests. Although this overly simplified description will undoubtedly sound prohibitively burdensome to many uninitiated developers, the advent of powerful unit-testing frameworks greatly reduces the effort required to produce and routinely execute suites of tests. By testimony, many developers find TDD to be addicting after only a few days of exposure, and find it unthinkable to return to previous practices. Of course, scientific/technical software differs from other software categories in a number of important respects, but I nonetheless believe that TDD is quite applicable to the development of such software and has the potential to significantly improve programmer productivity and code quality within the scientific community. After a detailed introduction to TDD, I will present the experience within the Software Systems Support Office (SSSO) in applying the technique to various scientific applications. This discussion will emphasize the various direct and indirect benefits as well as some of the difficulties and limitations of the methodology. I will conclude with a brief description of pFUnit, a unit testing framework I co-developed to support test-driven development of parallel Fortran applications.

Podcasting: contemporary patient education.

PubMed

Abreu, Daniel V; Tamura, Thomas K; Sipp, J Andrew; Keamy, Donald G; Eavey, Roland D

2008-04-01

Portable video technology is a widely available new tool with potential to be used by pediatric otolaryngology practices for patient and family education. Podcasts are media broadcasts that employ this new technology. They can be accessed via the Internet and viewed either on a personal computer or on a handheld device, such as an iPod or an MP3 player. We wished to examine the feasibility of establishing a podcast-hosting Web site. We digitally recorded pediatric otologic procedures in the operating room and saved the digital files to DVDs. We then edited the DVDs at home with video-editing software on a personal computer. Next, spoken narrative was recorded with audio-recording software and combined with the edited video clips. The final products were converted into the M4V file format, and the final versions were uploaded onto our hospital's Web site. We then downloaded the podcasts onto a high-quality portable media player so that we could evaluate their quality. All of the podcasts are now on the hospital Web site, where they can be downloaded by patients and families at no cost. The site includes instructions on how to download the appropriate free software for viewing the podcasts on a portable media player or on a computer. Using this technology for patient education expands the audience and permits portability of information. We conclude that a home computer can be used to inexpensively create informative surgery demonstrations that can be accessed via a Web site and transferred to portable viewing devices with excellent quality.

The Profiles in Practice School Reporting Software.

ERIC Educational Resources Information Center

Griffin, Patrick

"The Profiles in Practice: School Reporting Software" provides a framework for reports on different aspects of performance in an assessment program. This booklet is the installation guide and user manual for the Profiles in Practice software, which is included as a CD-ROM. The chapters of the guide are: (1) "Installation"; (2) "Starting the…

Software Carpentry and the Hydrological Sciences

NASA Astrophysics Data System (ADS)

Ahmadia, A. J.; Kees, C. E.; Farthing, M. W.

2013-12-01

Scientists are spending an increasing amount of time building and using hydrology software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. As hydrology models increase in capability and enter use by a growing number of scientists and their communities, it is important that the scientific software development practices scale up to meet the challenges posed by increasing software complexity, lengthening software lifecycles, a growing number of stakeholders and contributers, and a broadened developer base that extends from application domains to high performance computing centers. Many of these challenges in complexity, lifecycles, and developer base have been successfully met by the open source community, and there are many lessons to be learned from their experiences and practices. Additionally, there is much wisdom to be found in the results of research studies conducted on software engineering itself. Software Carpentry aims to bridge the gap between the current state of software development and these known best practices for scientific software development, with a focus on hands-on exercises and practical advice based on the following principles: 1. Write programs for people, not computers. 2. Automate repetitive tasks 3. Use the computer to record history 4. Make incremental changes 5. Use version control 6. Don't repeat yourself (or others) 7. Plan for mistakes 8. Optimize software only after it works 9. Document design and purpose, not mechanics 10. Collaborate We discuss how these best practices, arising from solid foundations in research and experience, have been shown to help improve scientist's productivity and the reliability of their software.

Evaluating Software Assurance Knowledge and Competency of Acquisition Professionals

DTIC Science & Technology

2014-10-01

of ISO 12207 -2008, both internationally and in the United States [7]. That standard documents a comprehensive set of activities and supporting...grows, organizations must ensure that their procurement agents acquire high quality, secure software. ISO 12207 and the Software Assurance Competency...cyberattacks grows, organizations must ensure that their procurement agents acquire high quality, secure software. ISO 12207 and the Software Assurance

A bootstrap method for estimating uncertainty of water quality trends

USGS Publications Warehouse

Hirsch, Robert M.; Archfield, Stacey A.; DeCicco, Laura

2015-01-01

Estimation of the direction and magnitude of trends in surface water quality remains a problem of great scientific and practical interest. The Weighted Regressions on Time, Discharge, and Season (WRTDS) method was recently introduced as an exploratory data analysis tool to provide flexible and robust estimates of water quality trends. This paper enhances the WRTDS method through the introduction of the WRTDS Bootstrap Test (WBT), an extension of WRTDS that quantifies the uncertainty in WRTDS-estimates of water quality trends and offers various ways to visualize and communicate these uncertainties. Monte Carlo experiments are applied to estimate the Type I error probabilities for this method. WBT is compared to other water-quality trend-testing methods appropriate for data sets of one to three decades in length with sampling frequencies of 6–24 observations per year. The software to conduct the test is in the EGRETci R-package.

[Computer graphic display of retinal examination results. Software improving the quality of documenting fundus changes].

PubMed

Jürgens, Clemens; Grossjohann, Rico; Czepita, Damian; Tost, Frank

2009-01-01

Graphic documentation of retinal examination results in clinical ophthalmological practice is often depicted using pictures or in handwritten form. Popular software products used to describe changes in the fundus do not vary much from simple graphic programs that enable to insert, scale and edit basic graphic elements such as: a circle, rectangle, arrow or text. Displaying the results of retinal examinations in a unified way is difficult to achieve. Therefore, we devised and implemented modern software tools for this purpose. A computer program enabling to quickly and intuitively form graphs of the fundus, that can be digitally archived or printed was created. Especially for the needs of ophthalmological clinics, a set of standard digital symbols used to document the results of retinal examinations was developed and installed in a library of graphic symbols. These symbols are divided into the following categories: preoperative, postoperative, neovascularization, retinopathy of prematurity. The appropriate symbol can be selected with a click of the mouse and dragged-and-dropped on the canvas of the fundus. Current forms of documenting results of retinal examinations are unsatisfactory, due to the fact that they are time consuming and imprecise. Unequivocal interpretation is difficult or in some cases impossible. Using the developed computer program a sketch of the fundus can be created much more quickly than by hand drawing. Additionally the quality of the medica documentation using a system of well described and standardized symbols will be enhanced. (1) Graphic symbols used to document the results of retinal examinations are a part of everyday clinical practice. (2) The designed computer program will allow quick and intuitive graphical creation of fundus sketches that can be either digitally archived or printed.

SOA: A Quality Attribute Perspective

DTIC Science & Technology

2011-06-23

in software engineering from CMU. 6June 2011 Twitter #seiwebinar © 2011 Carnegie Mellon University Agenda Service -Oriented Architecture and... Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges 7June 2011 Twitter #seiwebinar © 2011...Architecture and Software Architecture: Review Service -Orientation and Quality Attributes Summary and Future Challenges Review 10June 2011 Twitter

Development and Application of New Quality Model for Software Projects

PubMed Central

Karnavel, K.; Dillibabu, R.

2014-01-01

The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects. PMID:25478594

Development and application of new quality model for software projects.

PubMed

Karnavel, K; Dillibabu, R

2014-01-01

The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects.

The Experience Factory: Strategy and Practice

NASA Technical Reports Server (NTRS)

Basili, Victor R.; Caldiera, Gianluigi

1995-01-01

The quality movement, that has had in recent years a dramatic impact on all industrial sectors, has recently reached the system and software industry. Although some concepts of quality management, originally developed for other product types, can be applied to software, its specificity as a product which is developed and not produced requires a special approach. This paper introduces a quality paradigm specifically tailored on the problem of the systems and software industry. Reuse of products, processes and experiences originating from the system life cycle is seen today as a feasible solution to the problem of developing higher quality systems at a lower cost. In fact, quality improvement is very often achieved by defining and developing an appropriate set of strategic capabilities and core competencies to support them. A strategic capability is, in this context, a corporate goal defined by the business position of the organization and implemented by key business processes. Strategic capabilities are supported by core competencies, which are aggregate technologies tailored to the specific needs of the organization in performing the needed business processes. Core competencies are non-transitional, have a consistent evolution, and are typically fueled by multiple technologies. Their selection and development requires commitment, investment and leadership. The paradigm introduced in this paper for developing core competencies is the Quality Improvement Paradigm which consists of six steps: (1) Characterize the environment, (2) Set the goals, (3) Choose the process, (4) Execute the process, (5) Analyze the process data, and (6) Package experience. The process must be supported by a goal oriented approach to measurement and control, and an organizational infrastructure, called Experience Factory. The Experience Factory is a logical and physical organization distinct from the project organizations it supports. Its goal is development and support of core competencies through capitalization and reuse of its cycle experience and products. The paper introduces the major concepts of the proposed approach, discusses their relationship with other approaches used in the industry, and presents a case in which those concepts have been successfully applied.

Software Security Practices: Integrating Security into the SDLC

DTIC Science & Technology

2011-05-01

Software Security Practices Integrating Security into the SDLC Robert A. Martin HS SEDI is a trademark of the U.S. Department of Homeland Security...2011 to 00-00-2011 4. TITLE AND SUBTITLE Software Security Practices Integrating Security into the SDLC 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c...SEDI FFRDC is managed and operated by The MITRE Corporation for DHS. 4 y y w SDLC Integrating Security into a typical software development lifecycle

Improving Software Quality and Management Through Use of Service Level Agreements

DTIC Science & Technology

2005-03-01

many who believe that the quality of the development process is the best predictor of software product quality. ( Fenton ) Repeatable software processes...reduced errors per KLOC for small projects ( Fenton ), and the quality management metric (QMM) (Machniak, Osmundson). There are also numerous IEEE 14...attention to cosmetic user interface issues and any problems that may arise with the prototype. (Sawyer) The validation process is also another check

NASA Software Engineering Benchmarking Study

NASA Technical Reports Server (NTRS)

Rarick, Heather L.; Godfrey, Sara H.; Kelly, John C.; Crumbley, Robert T.; Wifl, Joel M.

2013-01-01

To identify best practices for the improvement of software engineering on projects, NASA's Offices of Chief Engineer (OCE) and Safety and Mission Assurance (OSMA) formed a team led by Heather Rarick and Sally Godfrey to conduct this benchmarking study. The primary goals of the study are to identify best practices that: Improve the management and technical development of software intensive systems; Have a track record of successful deployment by aerospace industries, universities [including research and development (R&D) laboratories], and defense services, as well as NASA's own component Centers; and Identify candidate solutions for NASA's software issues. Beginning in the late fall of 2010, focus topics were chosen and interview questions were developed, based on the NASA top software challenges. Between February 2011 and November 2011, the Benchmark Team interviewed a total of 18 organizations, consisting of five NASA Centers, five industry organizations, four defense services organizations, and four university or university R and D laboratory organizations. A software assurance representative also participated in each of the interviews to focus on assurance and software safety best practices. Interviewees provided a wealth of information on each topic area that included: software policy, software acquisition, software assurance, testing, training, maintaining rigor in small projects, metrics, and use of the Capability Maturity Model Integration (CMMI) framework, as well as a number of special topics that came up in the discussions. NASA's software engineering practices compared favorably with the external organizations in most benchmark areas, but in every topic, there were ways in which NASA could improve its practices. Compared to defense services organizations and some of the industry organizations, one of NASA's notable weaknesses involved communication with contractors regarding its policies and requirements for acquired software. One of NASA's strengths was its software assurance practices, which seemed to rate well in comparison to the other organizational groups and also seemed to include a larger scope of activities. An unexpected benefit of the software benchmarking study was the identification of many opportunities for collaboration in areas including metrics, training, sharing of CMMI experiences and resources such as instructors and CMMI Lead Appraisers, and even sharing of assets such as documented processes. A further unexpected benefit of the study was the feedback on NASA practices that was received from some of the organizations interviewed. From that feedback, other potential areas where NASA could improve were highlighted, such as accuracy of software cost estimation and budgetary practices. The detailed report contains discussion of the practices noted in each of the topic areas, as well as a summary of observations and recommendations from each of the topic areas. The resulting 24 recommendations from the topic areas were then consolidated to eliminate duplication and culled into a set of 14 suggested actionable recommendations. This final set of actionable recommendations, listed below, are items that can be implemented to improve NASA's software engineering practices and to help address many of the items that were listed in the NASA top software engineering issues. 1. Develop and implement standard contract language for software procurements. 2. Advance accurate and trusted software cost estimates for both procured and in-house software and improve the capture of actual cost data to facilitate further improvements. 3. Establish a consistent set of objectives and expectations, specifically types of metrics at the Agency level, so key trends and models can be identified and used to continuously improve software processes and each software development effort. 4. Maintain the CMMI Maturity Level requirement for critical NASA projects and use CMMI to measure organizations developing software for NASA. 5.onsolidate, collect and, if needed, develop common processes principles and other assets across the Agency in order to provide more consistency in software development and acquisition practices and to reduce the overall cost of maintaining or increasing current NASA CMMI maturity levels. 6. Provide additional support for small projects that includes: (a) guidance for appropriate tailoring of requirements for small projects, (b) availability of suitable tools, including support tool set-up and training, and (c) training for small project personnel, assurance personnel and technical authorities on the acceptable options for tailoring requirements and performing assurance on small projects. 7. Develop software training classes for the more experienced software engineers using on-line training, videos, or small separate modules of training that can be accommodated as needed throughout a project. 8. Create guidelines to structure non-classroom training opportunities such as mentoring, peer reviews, lessons learned sessions, and on-the-job training. 9. Develop a set of predictive software defect data and a process for assessing software testing metric data against it. 10. Assess Agency-wide licenses for commonly used software tools. 11. Fill the knowledge gap in common software engineering practices for new hires and co-ops.12. Work through the Science, Technology, Engineering and Mathematics (STEM) program with universities in strengthening education in the use of common software engineering practices and standards. 13. Follow up this benchmark study with a deeper look into what both internal and external organizations perceive as the scope of software assurance, the value they expect to obtain from it, and the shortcomings they experience in the current practice. 14. Continue interactions with external software engineering environment through collaborations, knowledge sharing, and benchmarking.

Thyroid Cancer and Tumor Collaborative Registry (TCCR).

PubMed

Shats, Oleg; Goldner, Whitney; Feng, Jianmin; Sherman, Alexander; Smith, Russell B; Sherman, Simon

2016-01-01

A multicenter, web-based Thyroid Cancer and Tumor Collaborative Registry (TCCR, http://tccr.unmc.edu) allows for the collection and management of various data on thyroid cancer (TC) and thyroid nodule (TN) patients. The TCCR is coupled with OpenSpecimen, an open-source biobank management system, to annotate biospecimens obtained from the TCCR subjects. The demographic, lifestyle, physical activity, dietary habits, family history, medical history, and quality of life data are provided and may be entered into the registry by subjects. Information on diagnosis, treatment, and outcome is entered by the clinical personnel. The TCCR uses advanced technical and organizational practices, such as (i) metadata-driven software architecture (design); (ii) modern standards and best practices for data sharing and interoperability (standardization); (iii) Agile methodology (project management); (iv) Software as a Service (SaaS) as a software distribution model (operation); and (v) the confederation principle as a business model (governance). This allowed us to create a secure, reliable, user-friendly, and self-sustainable system for TC and TN data collection and management that is compatible with various end-user devices and easily adaptable to a rapidly changing environment. Currently, the TCCR contains data on 2,261 subjects and data on more than 28,000 biospecimens. Data and biological samples collected by the TCCR are used in developing diagnostic, prevention, treatment, and survivorship strategies against TC.

Continuous quality improvement using intelligent infusion pump data analysis.

PubMed

Breland, Burnis D

2010-09-01

The use of continuous quality-improvement (CQI) processes in the implementation of intelligent infusion pumps in a community teaching hospital is described. After the decision was made to implement intelligent i.v. infusion pumps in a 413-bed, community teaching hospital, drug libraries for use in the safety software had to be created. Before drug libraries could be created, it was necessary to determine the epidemiology of medication use in various clinical care areas. Standardization of medication administration was performed through the CQI process, using practical knowledge of clinicians at the bedside and evidence-based drug safety parameters in the scientific literature. Post-implementation, CQI allowed refinement of clinically important safety limits while minimizing inappropriate, meaningless soft limit alerts on a few select agents. Assigning individual clinical care areas (CCAs) to individual patient care units facilitated customization of drug libraries and identification of specific CCA compliance concerns. Between June 2007 and June 2008, there were seven library updates. These involved drug additions and deletions, customization of individual CCAs, and alterations of limits. Overall compliance with safety software use rose over time, from 33% in November 2006 to over 98% in December 2009. Many potentially clinically significant dosing errors were intercepted by the safety software, prompting edits by end users. Only 4-6% of soft limit alerts resulted in edits. Compliance rates for use of infusion pump safety software varied among CCAs over time. Education, auditing, and refinement of drug libraries led to improved compliance in most CCAs.

Improving multiple sclerosis management and collecting safety information in the real world: the MSDS3D software approach.

PubMed

Haase, Rocco; Wunderlich, Maria; Dillenseger, Anja; Kern, Raimar; Akgün, Katja; Ziemssen, Tjalf

2018-04-01

For safety evaluation, randomized controlled trials (RCTs) are not fully able to identify rare adverse events. The richest source of safety data lies in the post-marketing phase. Real-world evidence (RWE) and observational studies are becoming increasingly popular because they reflect usefulness of drugs in real life and have the ability to discover uncommon or rare adverse drug reactions. Areas covered: Adding the documentation of psychological symptoms and other medical disciplines, the necessity for a complex documentation becomes apparent. The collection of high-quality data sets in clinical practice requires the use of special documentation software as the quality of data in RWE studies can be an issue in contrast to the data obtained from RCTs. The MSDS3D software combines documentation of patient data with patient management of patients with multiple sclerosis. Following a continuous development over several treatment-specific modules, we improved and expanded the realization of safety management in MSDS3D with regard to the characteristics of different treatments and populations. Expert opinion: eHealth-enhanced post-authorisation safety study may complete the fundamental quest of RWE for individually improved treatment decisions and balanced therapeutic risk assessment. MSDS3D is carefully designed to contribute to every single objective in this process.

Guidelines for software inspections

NASA Technical Reports Server (NTRS)

1983-01-01

Quality control inspections are software problem finding procedures which provide defect removal as well as improvements in software functionality, maintenance, quality, and development and testing methodology is discussed. The many side benefits include education, documentation, training, and scheduling.

ITK: enabling reproducible research and open science

PubMed Central

McCormick, Matthew; Liu, Xiaoxiao; Jomier, Julien; Marion, Charles; Ibanez, Luis

2014-01-01

Reproducibility verification is essential to the practice of the scientific method. Researchers report their findings, which are strengthened as other independent groups in the scientific community share similar outcomes. In the many scientific fields where software has become a fundamental tool for capturing and analyzing data, this requirement of reproducibility implies that reliable and comprehensive software platforms and tools should be made available to the scientific community. The tools will empower them and the public to verify, through practice, the reproducibility of observations that are reported in the scientific literature. Medical image analysis is one of the fields in which the use of computational resources, both software and hardware, are an essential platform for performing experimental work. In this arena, the introduction of the Insight Toolkit (ITK) in 1999 has transformed the field and facilitates its progress by accelerating the rate at which algorithmic implementations are developed, tested, disseminated and improved. By building on the efficiency and quality of open source methodologies, ITK has provided the medical image community with an effective platform on which to build a daily workflow that incorporates the true scientific practices of reproducibility verification. This article describes the multiple tools, methodologies, and practices that the ITK community has adopted, refined, and followed during the past decade, in order to become one of the research communities with the most modern reproducibility verification infrastructure. For example, 207 contributors have created over 2400 unit tests that provide over 84% code line test coverage. The Insight Journal, an open publication journal associated with the toolkit, has seen over 360,000 publication downloads. The median normalized closeness centrality, a measure of knowledge flow, resulting from the distributed peer code review system was high, 0.46. PMID:24600387

Knowledge Management tools integration within DLR's concurrent engineering facility

NASA Astrophysics Data System (ADS)

Lopez, R. P.; Soragavi, G.; Deshmukh, M.; Ludtke, D.

The complexity of space endeavors has increased the need for Knowledge Management (KM) tools. The concept of KM involves not only the electronic storage of knowledge, but also the process of making this knowledge available, reusable and traceable. Establishing a KM concept within the Concurrent Engineering Facility (CEF) has been a research topic of the German Aerospace Centre (DLR). This paper presents the current KM tools of the CEF: the Software Platform for Organizing and Capturing Knowledge (S.P.O.C.K.), the data model Virtual Satellite (VirSat), and the Simulation Model Library (SimMoLib), and how their usage improved the Concurrent Engineering (CE) process. This paper also exposes the lessons learned from the introduction of KM practices into the CEF and elaborates a roadmap for the further development of KM in CE activities at DLR. The results of the application of the Knowledge Management tools have shown the potential of merging the three software platforms with their functionalities, as the next step towards the fully integration of KM practices into the CE process. VirSat will stay as the main software platform used within a CE study, and S.P.O.C.K. and SimMoLib will be integrated into VirSat. These tools will support the data model as a reference and documentation source, and as an access to simulation and calculation models. The use of KM tools in the CEF aims to become a basic practice during the CE process. The settlement of this practice will result in a much more extended knowledge and experience exchange within the Concurrent Engineering environment and, consequently, the outcome of the studies will comprise higher quality in the design of space systems.

ITK: enabling reproducible research and open science.

PubMed

McCormick, Matthew; Liu, Xiaoxiao; Jomier, Julien; Marion, Charles; Ibanez, Luis

2014-01-01

Reproducibility verification is essential to the practice of the scientific method. Researchers report their findings, which are strengthened as other independent groups in the scientific community share similar outcomes. In the many scientific fields where software has become a fundamental tool for capturing and analyzing data, this requirement of reproducibility implies that reliable and comprehensive software platforms and tools should be made available to the scientific community. The tools will empower them and the public to verify, through practice, the reproducibility of observations that are reported in the scientific literature. Medical image analysis is one of the fields in which the use of computational resources, both software and hardware, are an essential platform for performing experimental work. In this arena, the introduction of the Insight Toolkit (ITK) in 1999 has transformed the field and facilitates its progress by accelerating the rate at which algorithmic implementations are developed, tested, disseminated and improved. By building on the efficiency and quality of open source methodologies, ITK has provided the medical image community with an effective platform on which to build a daily workflow that incorporates the true scientific practices of reproducibility verification. This article describes the multiple tools, methodologies, and practices that the ITK community has adopted, refined, and followed during the past decade, in order to become one of the research communities with the most modern reproducibility verification infrastructure. For example, 207 contributors have created over 2400 unit tests that provide over 84% code line test coverage. The Insight Journal, an open publication journal associated with the toolkit, has seen over 360,000 publication downloads. The median normalized closeness centrality, a measure of knowledge flow, resulting from the distributed peer code review system was high, 0.46.

Software Assurance Measurement -- State of the Practice

DTIC Science & Technology

2013-11-01

quality and productivity. 30+ languages, C/C++, Java , .NET, Oracle, PeopleSoft, SAP, Siebel, Spring, Struts, Hibernate , and all major databases. ChecKing...NET 39 ActionScript 39 Ada 40 C/C++ 40 Java 41 JavaScript 42 Objective-C 42 Opa 42 Packages 42 Perl 42 PHP 42 Python 42 Formal Methods...Suite—A tool for Ada, C, C++, C#, and Java code that comprises various analyses such as architecture checking, interface analyses, and clone detection

HPCMP CREATE (trademark)-AV Quality Assurance: Best Practices for Validating and Supporting Computation-Based Engineering Software

DTIC Science & Technology

2015-09-30

Hariharan, Cynthia Dahl HPCMP, Lorton VA HPCMP CREATE 10501 Furnace Road Ste 101 Lorton, VA 22079-2624 HPCMP CREATE 10501 Furnace Road Ste 101...PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) HPCMP CREATE,,10501 Furnace Road Ste 101,,Lorton, ,VA, 22079 8. PERFORMING ORGANIZATION REPORT...Orlando, FL, 2015. [22] E. Reed and A. T. Egolf, "Coaxial Rotor Wake and Prop Induction Impact on a Horizontal Tail Using HPCMP CREATE™-AV

A study of software management and guidelines for flight projects

NASA Technical Reports Server (NTRS)

1980-01-01

A survey of present software development policies and practices, and an analysis of these policies and practices are summarized. Background information necessary to assess the adequacy of present NASA flight software development approaches is presented.

Infrastructure for quality transformation: measurement and reporting in veterans administration intensive care units.

PubMed

Render, Marta L; Freyberg, Ron W; Hasselbeck, Rachael; Hofer, Timothy P; Sales, Anne E; Deddens, James; Levesque, Odette; Almenoff, Peter L

2011-06-01

BACKGROUND Veterans Health Administration (VA) intensive care units (ICUs) develop an infrastructure for quality improvement using information technology and recruiting leadership. METHODS Setting Participation by the 183 ICUs in the quality improvement program is required. Infrastructure includes measurement (electronic data extraction, analysis), quarterly web-based reporting and implementation support of evidence-based practices. Leaders prioritise measures based on quality improvement objectives. The electronic extraction is validated manually against the medical record, selecting hospitals whose data elements and measures fall at the extremes (10th, 90th percentile). results are depicted in graphic, narrative and tabular reports benchmarked by type and complexity of ICU. RESULTS The VA admits 103 689±1156 ICU patients/year. Variation in electronic business practices, data location and normal range of some laboratory tests affects data quality. A data management website captures data elements important to ICU performance and not available electronically. A dashboard manages the data overload (quarterly reports ranged 106-299 pages). More than 85% of ICU directors and nurse managers review their reports. Leadership interest is sustained by including ICU targets in executive performance contracts, identification of local improvement opportunities with analytic software, and focused reviews. CONCLUSION Lessons relevant to non-VA institutions include the: (1) need for ongoing data validation, (2) essential involvement of leadership at multiple levels, (3) supplementation of electronic data when key elements are absent, (4) utility of a good but not perfect electronic indicator to move practice while improving data elements and (5) value of a dashboard.

Copyright and the Assurance of Quality Courseware.

ERIC Educational Resources Information Center

Helm, Virginia M.

Issues related to the illegal copying or piracy of educational software in the schools and its potential effect on quality software availability are discussed. Copyright violation is examined as a reason some software producers may be abandoning the school software market. An explanation of what the copyright allows and prohibits in terms of…

A survey of Canadian medical physicists: software quality assurance of in-house software.

PubMed

Salomons, Greg J; Kelly, Diane

2015-01-05

This paper reports on a survey of medical physicists who write and use in-house written software as part of their professional work. The goal of the survey was to assess the extent of in-house software usage and the desire or need for related software quality guidelines. The survey contained eight multiple-choice questions, a ranking question, and seven free text questions. The survey was sent to medical physicists associated with cancer centers across Canada. The respondents to the survey expressed interest in having guidelines to help them in their software-related work, but also demonstrated extensive skills in the area of testing, safety, and communication. These existing skills form a basis for medical physicists to establish a set of software quality guidelines.

Impact of Requirements Quality on Project Success or Failure

NASA Astrophysics Data System (ADS)

Tamai, Tetsuo; Kamata, Mayumi Itakura

We are interested in the relationship between the quality of the requirements specifications for software projects and the subsequent outcome of the projects. To examine this relationship, we investigated 32 projects started and completed between 2003 and 2005 by the software development division of a large company in Tokyo. The company has collected reliable data on requirements specification quality, as evaluated by software quality assurance teams, and overall project performance data relating to cost and time overruns. The data for requirements specification quality were first converted into a multiple-dimensional space, with each dimension corresponding to an item of the recommended structure for software requirements specifications (SRS) defined in IEEE Std. 830-1998. We applied various statistical analysis methods to the SRS quality data and project outcomes.

Validation of a Quality Management Metric

DTIC Science & Technology

2000-09-01

quality management metric (QMM) was used to measure the performance of ten software managers on Department of Defense (DoD) software development programs. Informal verification and validation of the metric compared the QMM score to an overall program success score for the entire program and yielded positive correlation. The results of applying the QMM can be used to characterize the quality of software management and can serve as a template to improve software management performance. Future work includes further refining the QMM, applying the QMM scores to provide feedback

A software quality model and metrics for risk assessment

NASA Technical Reports Server (NTRS)

Hyatt, L.; Rosenberg, L.

1996-01-01

A software quality model and its associated attributes are defined and used as the model for the basis for a discussion on risk. Specific quality goals and attributes are selected based on their importance to a software development project and their ability to be quantified. Risks that can be determined by the model's metrics are identified. A core set of metrics relating to the software development process and its products is defined. Measurements for each metric and their usability and applicability are discussed.

Klang River water quality modelling using music

NASA Astrophysics Data System (ADS)

Zahari, Nazirul Mubin; Zawawi, Mohd Hafiz; Muda, Zakaria Che; Sidek, Lariyah Mohd; Fauzi, Nurfazila Mohd; Othman, Mohd Edzham Fareez; Ahmad, Zulkepply

2017-09-01

Water is an essential resource that sustains life on earth; changes in the natural quality and distribution of water have ecological impacts that can sometimes be devastating. Recently, Malaysia is facing many environmental issues regarding water pollution. The main causes of river pollution are rapid urbanization, arising from the development of residential, commercial, industrial sites, infrastructural facilities and others. The purpose of the study was to predict the water quality of the Connaught Bridge Power Station (CBPS), Klang River. Besides that, affects to the low tide and high tide and. to forecast the pollutant concentrations of the Biochemical Oxygen Demand (BOD) and Total Suspended Solid (TSS) for existing land use of the catchment area through water quality modeling (by using the MUSIC software). Besides that, to identifying an integrated urban stormwater treatment system (Best Management Practice or BMPs) to achieve optimal performance in improving the water quality of the catchment using the MUSIC software in catchment areas having tropical climates. Result from MUSIC Model such as BOD5 at station 1 can be reduce the concentration from Class IV to become Class III. Whereas, for TSS concentration from Class III to become Class II at the station 1. The model predicted a mean TSS reduction of 0.17%, TP reduction of 0.14%, TN reduction of 0.48% and BOD5 reduction of 0.31% for Station 1 Thus, from the result after purposed BMPs the water quality is safe to use because basically water quality monitoring is important due to threat such as activities are harmful to aquatic organisms and public health.

Guidance and Control Software Project Data - Volume 4: Configuration Management and Quality Assurance Documents

NASA Technical Reports Server (NTRS)

Hayhurst, Kelly J. (Editor)

2008-01-01

The Guidance and Control Software (GCS) project was the last in a series of software reliability studies conducted at Langley Research Center between 1977 and 1994. The technical results of the GCS project were recorded after the experiment was completed. Some of the support documentation produced as part of the experiment, however, is serving an unexpected role far beyond its original project context. Some of the software used as part of the GCS project was developed to conform to the RTCA/DO-178B software standard, "Software Considerations in Airborne Systems and Equipment Certification," used in the civil aviation industry. That standard requires extensive documentation throughout the software development life cycle, including plans, software requirements, design and source code, verification cases and results, and configuration management and quality control data. The project documentation that includes this information is open for public scrutiny without the legal or safety implications associated with comparable data from an avionics manufacturer. This public availability has afforded an opportunity to use the GCS project documents for DO-178B training. This report provides a brief overview of the GCS project, describes the 4-volume set of documents and the role they are playing in training, and includes configuration management and quality assurance documents from the GCS project. Volume 4 contains six appendices: A. Software Accomplishment Summary for the Guidance and Control Software Project; B. Software Configuration Index for the Guidance and Control Software Project; C. Configuration Management Records for the Guidance and Control Software Project; D. Software Quality Assurance Records for the Guidance and Control Software Project; E. Problem Report for the Pluto Implementation of the Guidance and Control Software Project; and F. Support Documentation Change Reports for the Guidance and Control Software Project.

NASA's Software Safety Standard

NASA Technical Reports Server (NTRS)

Ramsay, Christopher M.

2007-01-01

NASA relies more and more on software to control, monitor, and verify its safety critical systems, facilities and operations. Since the 1960's there has hardly been a spacecraft launched that does not have a computer on board that will provide command and control services. There have been recent incidents where software has played a role in high-profile mission failures and hazardous incidents. For example, the Mars Orbiter, Mars Polar Lander, the DART (Demonstration of Autonomous Rendezvous Technology), and MER (Mars Exploration Rover) Spirit anomalies were all caused or contributed to by software. The Mission Control Centers for the Shuttle, ISS, and unmanned programs are highly dependant on software for data displays, analysis, and mission planning. Despite this growing dependence on software control and monitoring, there has been little to no consistent application of software safety practices and methodology to NASA's projects with safety critical software. Meanwhile, academia and private industry have been stepping forward with procedures and standards for safety critical systems and software, for example Dr. Nancy Leveson's book Safeware: System Safety and Computers. The NASA Software Safety Standard, originally published in 1997, was widely ignored due to its complexity and poor organization. It also focused on concepts rather than definite procedural requirements organized around a software project lifecycle. Led by NASA Headquarters Office of Safety and Mission Assurance, the NASA Software Safety Standard has recently undergone a significant update. This new standard provides the procedures and guidelines for evaluating a project for safety criticality and then lays out the minimum project lifecycle requirements to assure the software is created, operated, and maintained in the safest possible manner. This update of the standard clearly delineates the minimum set of software safety requirements for a project without detailing the implementation for those requirements. This allows the projects leeway to meet these requirements in many forms that best suit a particular project's needs and safety risk. In other words, it tells the project what to do, not how to do it. This update also incorporated advances in the state of the practice of software safety from academia and private industry. It addresses some of the more common issues now facing software developers in the NASA environment such as the use of Commercial-Off-the-Shelf Software (COTS), Modified OTS (MOTS), Government OTS (GOTS), and reused software. A team from across NASA developed the update and it has had both NASA-wide internal reviews by software engineering, quality, safety, and project management. It has also had expert external review. This presentation and paper will discuss the new NASA Software Safety Standard, its organization, and key features. It will start with a brief discussion of some NASA mission failures and incidents that had software as one of their root causes. It will then give a brief overview of the NASA Software Safety Process. This will include an overview of the key personnel responsibilities and functions that must be performed for safety-critical software.

Could yoga practice improve treatment-related side effects and quality of life for women with breast cancer? A systematic review and meta-analysis.

PubMed

Pan, Yuanqing; Yang, Kehu; Wang, Yuliang; Zhang, Laiping; Liang, Haiqing

2017-04-01

To determine if yoga as a complementary and alternative therapy was associated with enhanced health and treatment-related side effects in patients with breast cancer. This systematic review examines whether yoga practice provides any measurable benefit, both physically and psychologically, for women with breast cancer. PubMed, EMBASE and the Cochrane Library for randomized controlled trials (RCTs) throughout June 2013. We evaluated the quality of the included studies by the Cochrane Handbook 5.2 standards and analyzed the data using the Stata software, version 10.0. Meta-regression and subgroup analysis were also performed to identify additional predictors of outcome and to assess heterogeneity. Sixteen RCTs with a total of 930 participants were included. Comparing yoga groups to control groups, there was a statistically significant difference in overall health-related quality of life, depression, anxiety and gastrointestinal symptoms. Meta-regression analyses revealed that the duration of yoga practice and type of control group partly explained the heterogeneity. Subgroup analyses revealed that yoga had a positive effect on anxiety only when it had been practiced for longer than 3 months. Only the wait-list control group showed an effect of yoga on physical well-being. The current evidence demonstrates that yoga practice could be effective in enhancing health and managing some treatment-related side effects for patients recovering from breast cancer. In future clinical studies, clinicians should consider the patient's wishes along with the current best evidence of the effects of yoga practice in their clinical decision-making. © 2015 Wiley Publishing Asia Pty Ltd.

Practical challenges related to point of care testing.

PubMed

Shaw, Julie L V

2016-04-01

Point of care testing (POCT) refers to laboratory testing that occurs near to the patient, often at the patient bedside. POCT can be advantageous in situations requiring rapid turnaround time of test results for clinical decision making. There are many challenges associated with POCT, mainly related to quality assurance. POCT is performed by clinical staff rather than laboratory trained individuals which can lead to errors resulting from a lack of understanding of the importance of quality control and quality assurance practices. POCT is usually more expensive than testing performed in the central laboratory and requires a significant amount of support from the laboratory to ensure the quality testing and meet accreditation requirements. Here, specific challenges related to POCT compliance with accreditation standards are discussed along with strategies that can be used to overcome these challenges. These areas include: documentation of POCT orders, charting of POCT results as well as training and certification of individuals performing POCT. Factors to consider when implementing connectivity between POCT instruments and the electronic medical record are also discussed in detail and include: uni-directional versus bidirectional communication, linking patient demographic information with POCT software, the importance of positive patient identification and considering where to chart POCT results in the electronic medical record.

Identifying strengths and weaknesses of Quality Management Unit University of Sumatera Utara software using SCAMPI C

NASA Astrophysics Data System (ADS)

Gunawan, D.; Amalia, A.; Rahmat, R. F.; Muchtar, M. A.; Siregar, I.

2018-02-01

Identification of software maturity level is a technique to determine the quality of the software. By identifying the software maturity level, the weaknesses of the software can be observed. As a result, the recommendations might be a reference for future software maintenance and development. This paper discusses the software Capability Level (CL) with case studies on Quality Management Unit (Unit Manajemen Mutu) University of Sumatera Utara (UMM-USU). This research utilized Standard CMMI Appraisal Method for Process Improvement class C (SCAMPI C) model with continuous representation. This model focuses on activities for developing quality products and services. The observation is done in three process areas, such as Project Planning (PP), Project Monitoring and Control (PMC), and Requirements Management (REQM). According to the measurement of software capability level for UMM-USU software, turns out that the capability level for the observed process area is in the range of CL1 and CL2. Planning Project (PP) is the only process area which reaches capability level 2, meanwhile, PMC and REQM are still in CL 1 or in performed level. This research reveals several weaknesses of existing UMM-USU software. Therefore, this study proposes several recommendations for UMM-USU to improve capability level for observed process areas.

Modeling and Grid Generation of Iced Airfoils

NASA Technical Reports Server (NTRS)

Vickerman, Mary B.; Baez, Marivell; Braun, Donald C.; Hackenberg, Anthony W.; Pennline, James A.; Schilling, Herbert W.

2007-01-01

SmaggIce Version 2.0 is a software toolkit for geometric modeling and grid generation for two-dimensional, singleand multi-element, clean and iced airfoils. A previous version of SmaggIce was described in Preparing and Analyzing Iced Airfoils, NASA Tech Briefs, Vol. 28, No. 8 (August 2004), page 32. To recapitulate: Ice shapes make it difficult to generate quality grids around airfoils, yet these grids are essential for predicting ice-induced complex flow. This software efficiently creates high-quality structured grids with tools that are uniquely tailored for various ice shapes. SmaggIce Version 2.0 significantly enhances the previous version primarily by adding the capability to generate grids for multi-element airfoils. This version of the software is an important step in streamlining the aeronautical analysis of ice airfoils using computational fluid dynamics (CFD) tools. The user may prepare the ice shape, define the flow domain, decompose it into blocks, generate grids, modify/divide/merge blocks, and control grid density and smoothness. All these steps may be performed efficiently even for the difficult glaze and rime ice shapes. Providing the means to generate highly controlled grids near rough ice, the software includes the creation of a wrap-around block (called the "viscous sublayer block"), which is a thin, C-type block around the wake line and iced airfoil. For multi-element airfoils, the software makes use of grids that wrap around and fill in the areas between the viscous sub-layer blocks for all elements that make up the airfoil. A scripting feature records the history of interactive steps, which can be edited and replayed later to produce other grids. Using this version of SmaggIce, ice shape handling and grid generation can become a practical engineering process, rather than a laborious research effort.

The International Atomic Energy Agency software package for the analysis of scintigraphic renal dynamic studies: a tool for the clinician, teacher, and researcher.

PubMed

Zaknun, John J; Rajabi, Hossein; Piepsz, Amy; Roca, Isabel; Dondi, Maurizio

2011-01-01

Under the auspices of the International Atomic Energy Agency, a new-generation, platform-independent, and x86-compatible software package was developed for the analysis of scintigraphic renal dynamic imaging studies. It provides nuclear medicine professionals cost-free access to the most recent developments in the field. The software package is a step forward towards harmonization and standardization. Embedded functionalities render it a suitable tool for education, research, and for receiving distant expert's opinions. Another objective of this effort is to allow introducing clinically useful parameters of drainage, including normalized residual activity and outflow efficiency. Furthermore, it provides an effective teaching tool for young professionals who are being introduced to dynamic kidney studies by selected teaching case studies. The software facilitates a better understanding through practically approaching different variables and settings and their effect on the numerical results. An effort was made to introduce instruments of quality assurance at the various levels of the program's execution, including visual inspection and automatic detection and correction of patient's motion, automatic placement of regions of interest around the kidneys, cortical regions, and placement of reproducible background region on both primary dynamic and on postmicturition studies. The user can calculate the differential renal function through 2 independent methods, the integral or the Rutland-Patlak approaches. Standardized digital reports, storage and retrieval of regions of interest, and built-in database operations allow the generation and tracing of full image reports and of numerical outputs. The software package is undergoing quality assurance procedures to verify the accuracy and the interuser reproducibility with the final aim of launching the program for use by professionals and teaching institutions worldwide. Copyright © 2011 Elsevier Inc. All rights reserved.

Comparison of in-hospital versus 30-day mortality assessments for selected medical conditions.

PubMed

Borzecki, Ann M; Christiansen, Cindy L; Chew, Priscilla; Loveland, Susan; Rosen, Amy K

2010-12-01

In-hospital mortality measures such as the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators (IQIs) are easily derived using hospital discharge abstracts and publicly available software. However, hospital assessments based on a 30-day postadmission interval might be more accurate given potential differences in facility discharge practices. To compare in-hospital and 30-day mortality rates for 6 medical conditions using the AHRQ IQI software. We used IQI software (v3.1) and 2004-2007 Veterans Health Administration (VA) discharge and Vital Status files to derive 4-year facility-level in-hospital and 30-day observed mortality rates and observed/expected ratios (O/Es) for admissions with a principal diagnosis of acute myocardial infarction, congestive heart failure, stroke, gastrointestinal hemorrhage, hip fracture, and pneumonia. We standardized software-calculated O/Es to the VA population and compared O/Es and outlier status across sites using correlation, observed agreement, and kappas. Of 119 facilities, in-hospital versus 30-day mortality O/E correlations were generally high (median: r = 0.78; range: 0.31-0.86). Examining outlier status, observed agreement was high (median: 84.7%, 80.7%-89.1%). Kappas showed at least moderate agreement (k > 0.40) for all indicators except stroke and hip fracture (k ≤ 0.22). Across indicators, few sites changed from a high to nonoutlier or low outlier, or vice versa (median: 10, range: 7-13). The AHRQ IQI software can be easily adapted to generate 30-day mortality rates. Although 30-day mortality has better face validity as a hospital performance measure than in-hospital mortality, site assessments were similar despite the definition used. Thus, the measure selected for internal benchmarking should primarily depend on the healthcare system's data linkage capabilities.

Design and implementation of software for automated quality control and data analysis for a complex LC/MS/MS assay for urine opiates and metabolites.

PubMed

Dickerson, Jane A; Schmeling, Michael; Hoofnagle, Andrew N; Hoffman, Noah G

2013-01-16

Mass spectrometry provides a powerful platform for performing quantitative, multiplexed assays in the clinical laboratory, but at the cost of increased complexity of analysis and quality assurance calculations compared to other methodologies. Here we describe the design and implementation of a software application that performs quality control calculations for a complex, multiplexed, mass spectrometric analysis of opioids and opioid metabolites. The development and implementation of this application improved our data analysis and quality assurance processes in several ways. First, use of the software significantly improved the procedural consistency for performing quality control calculations. Second, it reduced the amount of time technologists spent preparing and reviewing the data, saving on average over four hours per run, and in some cases improving turnaround time by a day. Third, it provides a mechanism for coupling procedural and software changes with the results of each analysis. We describe several key details of the implementation including the use of version control software and automated unit tests. These generally useful software engineering principles should be considered for any software development project in the clinical lab. Copyright © 2012 Elsevier B.V. All rights reserved.

Requirements model for an e-Health awareness portal

NASA Astrophysics Data System (ADS)

Hussain, Azham; Mkpojiogu, Emmanuel O. C.; Nawi, Mohd Nasrun M.

2016-08-01

Requirements engineering is at the heart and foundation of software engineering process. Poor quality requirements inevitably lead to poor quality software solutions. Also, poor requirement modeling is tantamount to designing a poor quality product. So, quality assured requirements development collaborates fine with usable products in giving the software product the needed quality it demands. In the light of the foregoing, the requirements for an e-Ebola Awareness Portal were modeled with a good attention given to these software engineering concerns. The requirements for the e-Health Awareness Portal are modeled as a contribution to the fight against Ebola and helps in the fulfillment of the United Nation's Millennium Development Goal No. 6. In this study requirements were modeled using UML 2.0 modeling technique.

An overview of quality control practices in Ontario with particular reference to cholesterol analysis.

PubMed

Krishnan, S; Webb, S; Henderson, A R; Cheung, C M; Nazir, D J; Richardson, H

1999-03-01

The Laboratory Proficiency Testing Program (LPTP) assesses the analytical performance of all licensed laboratories in Ontario. The LPTP Enzymes, Cardiac Markers, and Lipids Committee conducted a "Patterns of Practice" survey to assess the in-house quality control (QC) practices of laboratories in Ontario using cholesterol as the QC paradigm. The survey was questionnaire-based seeking information on statistical calculations, software rules, review process and data retention, and so on. Copies of the in-house cholesterol QC graphs were requested. A total of 120 of 210 laboratories were randomly chosen to receive the questionnaires during 1995 and 1996; 115 laboratories responded, although some did not answer all questions. The majority calculate means and standard deviations (SD) every month, using anywhere from 4 to >100 data points. 65% use a fixed mean and SD, while 17% use means calculated from the previous month. A few use a floating or cumulative mean. Some laboratories that do not use fixed means use a fixed SD. About 90% use some form of statistical quality control rules. The most common rules used to detect random error are 1(3s)/R4s while 2(2s)/4(1s)/10x are used for systematic errors. About 20% did not assay any QC at levels >5.5 mmol/L. Quality control data are reviewed daily (technologists), weekly and monthly (supervisors/directors). Most laboratories retain their QC records for up to 3 years on paper and magnetic media. On some QC graphs the mean and SD, QC product lot number, or reference to action logs are not apparent. Quality control practices in Ontario are, therefore, disappointing. Improvement is required in the use of clinically appropriate concentrations of QC material and documentation on QC graphs.

Software quality assurance plan for GCS

NASA Technical Reports Server (NTRS)

Duncan, Stephen E.; Bailey, Elizabeth K.

1990-01-01

The software quality assurance (SQA) function for the Guidance and Control Software (GCS) project which is part of a software error studies research program is described. The SQA plan outlines all of the procedures, controls, and audits to be carried out by the SQA organization to ensure adherence to the policies, procedures, and standards for the GCS project.

Integrating surveillance data on water-related diseases and drinking-water quality; action-research in a Brazilian municipality.

PubMed

Queiroz, Ana Carolina Lanza; Cardoso, Laís Santos de Magalhães; Heller, Léo; Cairncross, Sandy

2015-12-01

The Brazilian Ministry of Health proposed a research study involving municipal professional staff conducting both epidemiological and water quality surveillance to facilitate the integration of the data which they collected. It aimed to improve the intersectoral collaboration and health promotion activities in the municipalities, especially regarding drinking-water quality. We then conducted a study using the action-research approach. At its evaluation phase, a technique which we called 'the tree analogy' was applied in order to identify both possibilities and challenges related to the proposed interlinkage. Results showed that integrating the two data collection systems cannot be attained without prior institutional adjustments. It suggests therefore the necessity to unravel issues that go beyond the selection and the interrelation of indicators and compatibility of software, to include political, administrative and personal matters. The evaluation process led those involved to re-think their practice by sharing experiences encountered in everyday practice, and formulating constructive criticisms. All this inevitably unleashes a process of empowerment. From this perspective, we have certainly gathered some fruit from the Tree, but not necessarily the most visible.

Defect measurement and analysis of JPL ground software: a case study

NASA Technical Reports Server (NTRS)

Powell, John D.; Spagnuolo, John N., Jr.

2004-01-01

Ground software systems at JPL must meet high assurance standards while remaining on schedule due to relatively immovable launch dates for spacecraft that will be controlled by such systems. Toward this end, the Software Quality Improvement (SQI) project's Measurement and Benchmarking (M&B) team is collecting and analyzing defect data of JPL ground system software projects to build software defect prediction models. The aim of these models is to improve predictability with regard to software quality activities. Predictive models will quantitatively define typical trends for JPL ground systems as well as Critical Discriminators (CDs) to provide explanations for atypical deviations from the norm at JPL. CDs are software characteristics that can be estimated or foreseen early in a software project's planning. Thus, these CDs will assist in planning for the predicted degree to which software quality activities for a project are likely to deviation from the normal JPL ground system based on pasted experience across the lab.

Development and case study of a science-based software platform to support policy making on air quality.

PubMed

Zhu, Yun; Lao, Yanwen; Jang, Carey; Lin, Chen-Jen; Xing, Jia; Wang, Shuxiao; Fu, Joshua S; Deng, Shuang; Xie, Junping; Long, Shicheng

2015-01-01

This article describes the development and implementations of a novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface. The software, RSM-VAT, uses a response surface modeling (RSM) methodology and serves as a visualization and analysis tool (VAT) for three-dimensional air quality data obtained by atmospheric models. The software features a number of powerful and intuitive data visualization functions for illustrating the complex nonlinear relationship between emission reductions and air quality benefits. The case study of contiguous U.S. demonstrates that the enhanced RSM-VAT is capable of reproducing the air quality model results with Normalized Mean Bias <2% and assisting in air quality policy making in near real time. Copyright © 2014. Published by Elsevier B.V.

Software Carpentry In The Hydrological Sciences

NASA Astrophysics Data System (ADS)

Ahmadia, A. J.; Kees, C. E.

2014-12-01

Scientists are spending an increasing amount of time building and using hydrology software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. As hydrology models increase in capability and enter use by a growing number of scientists and their communities, it is important that the scientific software development practices scale up to meet the challenges posed by increasing software complexity, lengthening software lifecycles, a growing number of stakeholders and contributers, and a broadened developer base that extends from application domains to high performance computing centers. Many of these challenges in complexity, lifecycles, and developer base have been successfully met by the open source community, and there are many lessons to be learned from their experiences and practices. Additionally, there is much wisdom to be found in the results of research studies conducted on software engineering itself. Software Carpentry aims to bridge the gap between the current state of software development and these known best practices for scientific software development, with a focus on hands-on exercises and practical advice. In 2014, Software Carpentry workshops targeting earth/environmental sciences and hydrological modeling have been organized and run at the Massachusetts Institute of Technology, the US Army Corps of Engineers, the Community Surface Dynamics Modeling System Annual Meeting, and the Earth Science Information Partners Summer Meeting. In this presentation, we will share some of the successes in teaching this material, as well as discuss and present instructional material specific to hydrological modeling.

The new meaning of quality in the information age.

PubMed

Prahalad, C K; Krishnan, M S

1999-01-01

Software applications are now a mission-critical source of competitive advantage for most companies. They are also a source of great risk, as the Y2K bug has made clear. Yet many line managers still haven't confronted software issues--partly because they aren't sure how best to define the quality of the applications in their IT infrastructures. Some companies such as Wal-Mart and the Gap have successfully integrated the software in their networks, but most have accumulated an unwidely number of incompatible applications--all designed to perform the same tasks. The authors provide a framework for measuring the performance of software in a company's IT portfolio. Quality traditionally has been measured according to a product's ability to meet certain specifications; other views of quality have emerged that measure a product's adaptability to customers' needs and a product's ability to encourage innovation. To judge software quality properly, argue the authors, managers must measure applications against all three approaches. Understanding the domain of a software application is an important part of that process. The domain is the body of knowledge about a user's needs and expectations for a product. Software domains change frequently based on how a consumer chooses to use, for example, Microsoft Word or a spreadsheet application. The domain can also be influenced by general changes in technology, such as the development of a new software platform. Thus, applications can't be judged only according to whether they conform to specifications. The authors discuss how to identify domain characteristics and software risks and suggest ways to reduce the variability of software domains.

[The dilemma of data flood - reducing costs and increasing quality control].

PubMed

Gassmann, B

2012-09-05

Digitization is found everywhere in sonography. Printing of ultrasound images using the videoprinter with special paper will be done in single cases. The documentation of sonography procedures is more and more done by saving image sequences instead of still frames. Echocardiography is routinely recorded in between with so called R-R-loops. Doing contrast enhanced ultrasound recording of sequences is necessary to get a deep impression of the vascular structure of interest. Working with this data flood in daily practice a specialized software is required. Comparison in follow up of stored and recent images/sequences is very helpful. Nevertheless quality control of the ultrasound system and the transducers is simple and safe - using a phantom for detail resolution and general image quality the stored images/sequences are comparable over the life cycle of the system. The comparison in follow up is showing decreased image quality and transducer defects immediately.

State Health Agencies' Perceptions of the Benefits of Accreditation.

PubMed

Kittle, Alannah; Liss-Levinson, Rivka

The national voluntary accreditation program serves to encourage health agencies to seek departmental accreditation as a mechanism for continuous quality improvement. This study utilizes data from the 2016 Association of State and Territorial Health Officials Profile Survey to examine the perceived benefits of accreditation among state health agencies. Respondents answered questions on topics such as agency structure, workforce, and quality improvement activities. Frequencies and cross tabulations were conducted using IBM SPSS (version 21) statistical software. Results indicate that among accredited agencies, the most commonly endorsed benefits of accreditation include stimulating quality and performance improvement opportunities (95%), strengthening the culture of quality improvement (90%), and stimulating greater collaboration across departments/units within the agency (90%). Policy and practice implications, such as how these data can be used to promote accreditation within health agencies, as well as how accreditation strengthens governmental public health systems, are also discussed.

Use of a quality improvement tool, the prioritization matrix, to identify and prioritize triage software algorithm enhancement.

PubMed

North, Frederick; Varkey, Prathiba; Caraballo, Pedro; Vsetecka, Darlene; Bartel, Greg

2007-10-11

Complex decision support software can require significant effort in maintenance and enhancement. A quality improvement tool, the prioritization matrix, was successfully used to guide software enhancement of algorithms in a symptom assessment call center.

Elaboration on an Integrated Architecture and Requirement Practice: Prototyping with Quality Attribute Focus

DTIC Science & Technology

2013-05-01

release level prototyping as:  The R&D prototype is typically funded by the organization, rather than the client .  The work is done in an R&D...performance) with hopes that this capability could be offered to multiple clients . The clustering prototype is developed in the organization’s R&D...ICSE Conference 2013) [5] A. Martini, L. Pareto , and J. Bosch, “Enablers and inhibitors for speed with reuse,” Proceedings of the 16th Software

Measuring the impact of computer resource quality on the software development process and product

NASA Technical Reports Server (NTRS)

Mcgarry, Frank; Valett, Jon; Hall, Dana

1985-01-01

The availability and quality of computer resources during the software development process was speculated to have measurable, significant impact on the efficiency of the development process and the quality of the resulting product. Environment components such as the types of tools, machine responsiveness, and quantity of direct access storage may play a major role in the effort to produce the product and in its subsequent quality as measured by factors such as reliability and ease of maintenance. During the past six years, the NASA Goddard Space Flight Center has conducted experiments with software projects in an attempt to better understand the impact of software development methodologies, environments, and general technologies on the software process and product. Data was extracted and examined from nearly 50 software development projects. All were related to support of satellite flight dynamics ground-based computations. The relationship between computer resources and the software development process and product as exemplified by the subject NASA data was examined. Based upon the results, a number of computer resource-related implications are provided.

Development and implementation of a 'Mental Health Finder' software tool within an electronic medical record system.

PubMed

Swan, D; Hannigan, A; Higgins, S; McDonnell, R; Meagher, D; Cullen, W

2017-02-01

In Ireland, as in many other healthcare systems, mental health service provision is being reconfigured with a move toward more care in the community, and particularly primary care. Recording and surveillance systems for mental health information and activities in primary care are needed for service planning and quality improvement. We describe the development and initial implementation of a software tool ('mental health finder') within a widely used primary care electronic medical record system (EMR) in Ireland to enable large-scale data collection on the epidemiology and management of mental health and substance use problems among patients attending general practice. In collaboration with the Irish Primary Care Research Network (IPCRN), we developed the 'Mental Health Finder' as a software plug-in to a commonly used primary care EMR system to facilitate data collection on mental health diagnoses and pharmacological treatments among patients. The finder searches for and identifies patients based on diagnostic coding and/or prescribed medicines. It was initially implemented among a convenience sample of six GP practices. Prevalence of mental health and substance use problems across the six practices, as identified by the finder, was 9.4% (range 6.9-12.7%). 61.9% of identified patients were female; 25.8% were private patients. One-third (33.4%) of identified patients were prescribed more than one class of psychotropic medication. Of the patients identified by the finder, 89.9% were identifiable via prescribing data, 23.7% via diagnostic coding. The finder is a feasible and promising methodology for large-scale data collection on mental health problems in primary care.

Acquisition Regulations and Offshore Software Development: Implications for Cybersecurity of DOD Networks

DTIC Science & Technology

2013-02-14

Kessler, “Protection and Protectionism: The Practicalities of Offshore Software Devleopment in Government Procurement,” Public Contract Law Journal, Volume...Protection and Protectionism: The Practicalities of Offshore Software Development In Government Procurement,” Public Contract Law Journal, Volume 38, No. 1

75 FR 28296 - Denso Manufacturing of Michigan Including On-Site Leased Workers From Adecco Employment Services...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-20

...., Anchor Staffing, Capitol Software Systems, Donohue Computer Services, Historic Northside Family Practice, Scripture and Associates, Summit Software Services DD, Tacworldwide Companies, Talent Trax, Tek Systems...., Anchor Staffing, Capitol Software Systems, Donohue Computer Services, Historic Northside Family Practice...

Software Configuration Management Guidebook

NASA Technical Reports Server (NTRS)

1995-01-01

The growth in cost and importance of software to NASA has caused NASA to address the improvement of software development across the agency. One of the products of this program is a series of guidebooks that define a NASA concept of the assurance processes which are used in software development. The Software Assurance Guidebook, SMAP-GB-A201, issued in September, 1989, provides an overall picture of the concepts and practices of NASA in software assurance. Lower level guidebooks focus on specific activities that fall within the software assurance discipline, and provide more detailed information for the manager and/or practitioner. This is the Software Configuration Management Guidebook which describes software configuration management in a way that is compatible with practices in industry and at NASA Centers. Software configuration management is a key software development process, and is essential for doing software assurance.

Software process assessments

NASA Technical Reports Server (NTRS)

Miller, Sharon E.; Tucker, George T.; Verducci, Anthony J., Jr.

1992-01-01

Software process assessments (SPA's) are part of an ongoing program of continuous quality improvements in AT&T. Their use was found to be very beneficial by software development organizations in identifying the issues facing the organization and the actions required to increase both quality and productivity in the organization.

A Novel Survey to Examine the Relationship between Health IT Adoption and Nurse-Physician Communication.

PubMed

Holmgren, A Jay; Pfeifer, Eric; Manojlovich, Milisa; Adler-Milstein, Julia

2016-12-21

As EHR adoption in US hospitals becomes ubiquitous, a wide range of IT options are theoretically available to facilitate physician-nurse communication, but we know little about the adoption rate of specific technologies or the impact of their use. To measure adoption of hardware, software, and telephony relevant to nurse-physician communication in US hospitals. To assess the relationship between non-IT communication practices and hardware, software, and telephony adoption. To identify hospital characteristics associated with greater adoption of hardware, software, telephony, and non-IT communication practices. We conducted a survey of 105 hospitals in the National Nursing Practice Network. The survey captured adoption of hardware, software, and telephony to support nurse-physician communication, along with non-IT communication practices. We calculated descriptive statistics and then created four indices, one for each category, by scoring degree of adoption of technologies or practices within each category. Next, we examined correlations between the three technology indices and the non-IT communication practices index. We used multivariate OLS regression to assess whether certain types of hospitals had higher index scores. The majority of hospitals surveyed have a range of hardware, software, and telephony tools available to support nurse-physician communication; we found substantial heterogeneity across hospitals in non-IT communication practices. More intensive non-IT communication was associated with greater adoption of software (r=0.31, p=0.01), but was not correlated with hardware or telephony. Medium-sized hospitals had lower adoption of software (r =-1.14,p=0.04) in comparison to small hospitals, while federally-owned hospitals had lower software (r=-2.57, p=0.02) and hardware adoption (r=-1.63, p=0.01). The positive relationship between non-IT communication and level of software adoption suggests that there is a complementary, rather than substitutive, relationship. Our results suggest that some technologies with the potential to further enhance communication, such as CPOE and secure messaging, are not being utilized to their full potential in many hospitals.

Software-codec-based full motion video conferencing on the PC using visual pattern image sequence coding

NASA Astrophysics Data System (ADS)

Barnett, Barry S.; Bovik, Alan C.

1995-04-01

This paper presents a real time full motion video conferencing system based on the Visual Pattern Image Sequence Coding (VPISC) software codec. The prototype system hardware is comprised of two personal computers, two camcorders, two frame grabbers, and an ethernet connection. The prototype system software has a simple structure. It runs under the Disk Operating System, and includes a user interface, a video I/O interface, an event driven network interface, and a free running or frame synchronous video codec that also acts as the controller for the video and network interfaces. Two video coders have been tested in this system. Simple implementations of Visual Pattern Image Coding and VPISC have both proven to support full motion video conferencing with good visual quality. Future work will concentrate on expanding this prototype to support the motion compensated version of VPISC, as well as encompassing point-to-point modem I/O and multiple network protocols. The application will be ported to multiple hardware platforms and operating systems. The motivation for developing this prototype system is to demonstrate the practicality of software based real time video codecs. Furthermore, software video codecs are not only cheaper, but are more flexible system solutions because they enable different computer platforms to exchange encoded video information without requiring on-board protocol compatible video codex hardware. Software based solutions enable true low cost video conferencing that fits the `open systems' model of interoperability that is so important for building portable hardware and software applications.

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

DOE Office of Scientific and Technical Information (OSTI.GOV)

Heroux, Michael A.; Bartlett, Roscoe; Demeshko, Irina

Here, extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabilities. Scientific libraries provide high-quality, reusable software components for constructing applications with improved robustness and portability. However, without coordination, many libraries cannot be easily composed. Namespace collisions, inconsistent arguments, lack of third-party software versioning, and additional difficulties make composition costly. The Extreme-scale Scientific Software Development Kit (xSDK) defines community policies to improve code quality and compatibility across independently developed packages (hypre, PETSc, SuperLU, Trilinos, and Alquimia) and provides a foundationmore » for addressing broader issues in software interoperability, performance portability, and sustainability. The xSDK provides turnkey installation of member software and seamless combination of aggregate capabilities, and it marks first steps toward extreme-scale scientific software ecosystems from which future applications can be composed rapidly with assured quality and scalability.« less

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

DOE PAGES

Heroux, Michael A.; Bartlett, Roscoe; Demeshko, Irina; ...

2017-03-01

Here, extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabilities. Scientific libraries provide high-quality, reusable software components for constructing applications with improved robustness and portability. However, without coordination, many libraries cannot be easily composed. Namespace collisions, inconsistent arguments, lack of third-party software versioning, and additional difficulties make composition costly. The Extreme-scale Scientific Software Development Kit (xSDK) defines community policies to improve code quality and compatibility across independently developed packages (hypre, PETSc, SuperLU, Trilinos, and Alquimia) and provides a foundationmore » for addressing broader issues in software interoperability, performance portability, and sustainability. The xSDK provides turnkey installation of member software and seamless combination of aggregate capabilities, and it marks first steps toward extreme-scale scientific software ecosystems from which future applications can be composed rapidly with assured quality and scalability.« less

Software Reuse Within the Earth Science Community

NASA Technical Reports Server (NTRS)

Marshall, James J.; Olding, Steve; Wolfe, Robert E.; Delnore, Victor E.

2006-01-01

Scientific missions in the Earth sciences frequently require cost-effective, highly reliable, and easy-to-use software, which can be a challenge for software developers to provide. The NASA Earth Science Enterprise (ESE) spends a significant amount of resources developing software components and other software development artifacts that may also be of value if reused in other projects requiring similar functionality. In general, software reuse is often defined as utilizing existing software artifacts. Software reuse can improve productivity and quality while decreasing the cost of software development, as documented by case studies in the literature. Since large software systems are often the results of the integration of many smaller and sometimes reusable components, ensuring reusability of such software components becomes a necessity. Indeed, designing software components with reusability as a requirement can increase the software reuse potential within a community such as the NASA ESE community. The NASA Earth Science Data Systems (ESDS) Software Reuse Working Group is chartered to oversee the development of a process that will maximize the reuse potential of existing software components while recommending strategies for maximizing the reusability potential of yet-to-be-designed components. As part of this work, two surveys of the Earth science community were conducted. The first was performed in 2004 and distributed among government employees and contractors. A follow-up survey was performed in 2005 and distributed among a wider community, to include members of industry and academia. The surveys were designed to collect information on subjects such as the current software reuse practices of Earth science software developers, why they choose to reuse software, and what perceived barriers prevent them from reusing software. In this paper, we compare the results of these surveys, summarize the observed trends, and discuss the findings. The results are very similar, with the second, larger survey confirming the basic results of the first, smaller survey. The results suggest that reuse of ESE software can drive down the cost and time of system development, increase flexibility and responsiveness of these systems to new technologies and requirements, and increase effective and accountable community participation.

Educational Software Applied in Teaching Electrocardiogram: A Systematic Review

PubMed Central

Chaves, Rafael O.; de Souza, Érica F.; Seruffo, Marcos C. R.; Francês, Carlos R. L.

2018-01-01

Background The electrocardiogram (ECG) is the most used diagnostic tool in medicine; in this sense, it is essential that medical undergraduates learn how to interpret it correctly while they are still on training. Naturally, they go through classic learning (e.g., lectures and speeches). However, they are not often efficiently trained in analyzing ECG results. In this regard, methodologies such as other educational support tools in medical practice, such as educational software, should be considered a valuable approach for medical training purposes. Methods We performed a literature review in six electronic databases, considering studies published before April 2017. The resulting set comprises 2,467 studies. From this collection, 12 studies have been selected, initially, whereby we carried out a snowballing process to identify other relevant studies through the reference lists of these studies, resulting in five relevant studies, making up a total of 17 articles that passed all stages and criteria. Results The results show that 52.9% of software types were tutorial and 58.8% were designed to be run locally on a computer. The subjects were discussed together with a greater focus on the teaching of electrophysiology and/or cardiac physiology, identifying patterns of ECG and/or arrhythmias. Conclusions We found positive results with the introduction of educational software for ECG teaching. However, there is a clear need for using higher quality research methodologies and the inclusion of appropriate controls, in order to obtain more precise conclusions about how beneficial the inclusion of such tools can be for the practices of ECG interpretation. PMID:29736398

Quality Assurance Results for a Commercial Radiosurgery System: A Communication.

PubMed

Ruschin, Mark; Lightstone, Alexander; Beachey, David; Wronski, Matt; Babic, Steven; Yeboah, Collins; Lee, Young; Soliman, Hany; Sahgal, Arjun

2015-10-01

The purpose of this communication is to inform the radiosurgery community of quality assurance (QA) results requiring attention in a commercial FDA-approved linac-based cone stereo-tactic radiosurgery (SRS) system. Standard published QA guidelines as per the American Association of Physics in Medicine (AAPM) were followed during the SRS system's commissioning process including end-to-end testing, cone concentricity testing, image transfer verification, and documentation. Several software and hardware deficiencies that were deemed risky were uncovered during the process and QA processes were put in place to mitigate these risks during clinical practice. In particular, the present work focuses on daily cone concentricity testing and commissioning-related findings associated with the software. Cone concentricity/alignment is measured daily using both optical light field inspection, as well as quantitative radiation field tests with the electronic portal imager. In 10 out of 36 clini-cal treatments, adjustments to the cone position had to be made to align the cone with the collimator axis to less than 0.5 mm and on two occasions the pre-adjustment measured offset was 1.0 mm. Software-related errors discovered during commissioning included incorrect transfer of the isocentre in DICOM coordinates, improper handling of non-axial image sets, and complex handling of beam data, especially for multi-target treatments. QA processes were established to mitigate the occurrence of the software errors. With proper QA processes, the reported SRS system complies with tolerances set out in established guidelines. Discussions with the vendor are ongoing to address some of the hardware issues related to cone alignment. © The Author(s) 2014.

15 CFR 995.25 - Quality management system.

Code of Federal Regulations, 2012 CFR

2012-01-01

... management system are those defined in this part. The quality management system must ensure that the... type approved conversion software is maintained by a third party, CEVAD shall ensure that no changes made to the conversion software render the type approval of the conversion software invalid, and shall...

15 CFR 995.25 - Quality management system.

Code of Federal Regulations, 2014 CFR

2014-01-01

... management system are those defined in this part. The quality management system must ensure that the... type approved conversion software is maintained by a third party, CEVAD shall ensure that no changes made to the conversion software render the type approval of the conversion software invalid, and shall...

15 CFR 995.25 - Quality management system.

Code of Federal Regulations, 2011 CFR

2011-01-01

... management system are those defined in this part. The quality management system must ensure that the... type approved conversion software is maintained by a third party, CEVAD shall ensure that no changes made to the conversion software render the type approval of the conversion software invalid, and shall...

15 CFR 995.25 - Quality management system.

Code of Federal Regulations, 2013 CFR

2013-01-01

... management system are those defined in this part. The quality management system must ensure that the... type approved conversion software is maintained by a third party, CEVAD shall ensure that no changes made to the conversion software render the type approval of the conversion software invalid, and shall...

Software Design Improvements. Part 2; Software Quality and the Design and Inspection Process

NASA Technical Reports Server (NTRS)

Lalli, Vincent R.; Packard, Michael H.; Ziemianski, Tom

1997-01-01

The application of assurance engineering techniques improves the duration of failure-free performance of software. The totality of features and characteristics of a software product are what determine its ability to satisfy customer needs. Software in safety-critical systems is very important to NASA. We follow the System Safety Working Groups definition for system safety software as: 'The optimization of system safety in the design, development, use and maintenance of software and its integration with safety-critical systems in an operational environment. 'If it is not safe, say so' has become our motto. This paper goes over methods that have been used by NASA to make software design improvements by focusing on software quality and the design and inspection process.

Establishing Quantitative Software Metrics in Department of the Navy Programs

DTIC Science & Technology

2016-04-01

13 Quality to Metrics Dependency Matrix...11 7. Quality characteristics to metrics dependecy matrix...In accomplishing this goal, a need exists for a formalized set of software quality metrics . This document establishes the validity of those necessary

Job satisfaction, job stress and psychosomatic health problems in software professionals in India

PubMed Central

Madhura, Sahukar; Subramanya, Pailoor; Balaram, Pradhan

2014-01-01

This questionnaire based study investigates correlation between job satisfaction, job stress and psychosomatic health in Indian software professionals. Also, examines how yoga practicing Indian software professionals cope up with stress and psychosomatic health problems. The sample consisted of yoga practicing and non-yoga practicing Indian software professionals working in India. The findings of this study have shown that there is significant correlation among job satisfaction, job stress and health. In Yoga practitioners job satisfaction is not significantly related to Psychosomatic health whereas in non-yoga group Psychosomatic Health symptoms showed significant relationship with Job satisfaction. PMID:25598623

Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2)

NASA Astrophysics Data System (ADS)

Katz, Daniel S.; Choi, Sou-Cheng T.; Wilkins-Diehr, Nancy; Chue Hong, Neil; Venters, Colin C.; Howison, James; Seinstra, Frank; Jones, Matthew; Cranston, Karen; Clune, Thomas L.; de Val-Borro, Miguel; Littauer, Richard

2016-02-01

This technical report records and discusses the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2). The report includes a description of the alternative, experimental submission and review process, two workshop keynote presentations, a series of lightning talks, a discussion on sustainability, and five discussions from the topic areas of exploring sustainability; software development experiences; credit & incentives; reproducibility & reuse & sharing; and code testing & code review. For each topic, the report includes a list of tangible actions that were proposed and that would lead to potential change. The workshop recognized that reliance on scientific software is pervasive in all areas of world-leading research today. The workshop participants then proceeded to explore different perspectives on the concept of sustainability. Key enablers and barriers of sustainable scientific software were identified from their experiences. In addition, recommendations with new requirements such as software credit files and software prize frameworks were outlined for improving practices in sustainable software engineering. There was also broad consensus that formal training in software development or engineering was rare among the practitioners. Significant strides need to be made in building a sense of community via training in software and technical practices, on increasing their size and scope, and on better integrating them directly into graduate education programs. Finally, journals can define and publish policies to improve reproducibility, whereas reviewers can insist that authors provide sufficient information and access to data and software to allow them reproduce the results in the paper. Hence a list of criteria is compiled for journals to provide to reviewers so as to make it easier to review software submitted for publication as a "Software Paper."

Thyroid Cancer and Tumor Collaborative Registry (TCCR)

PubMed Central

Shats, Oleg; Goldner, Whitney; Feng, Jianmin; Sherman, Alexander; Smith, Russell B.; Sherman, Simon

2016-01-01

A multicenter, web-based Thyroid Cancer and Tumor Collaborative Registry (TCCR, http://tccr.unmc.edu) allows for the collection and management of various data on thyroid cancer (TC) and thyroid nodule (TN) patients. The TCCR is coupled with OpenSpecimen, an open-source biobank management system, to annotate biospecimens obtained from the TCCR subjects. The demographic, lifestyle, physical activity, dietary habits, family history, medical history, and quality of life data are provided and may be entered into the registry by subjects. Information on diagnosis, treatment, and outcome is entered by the clinical personnel. The TCCR uses advanced technical and organizational practices, such as (i) metadata-driven software architecture (design); (ii) modern standards and best practices for data sharing and interoperability (standardization); (iii) Agile methodology (project management); (iv) Software as a Service (SaaS) as a software distribution model (operation); and (v) the confederation principle as a business model (governance). This allowed us to create a secure, reliable, user-friendly, and self-sustainable system for TC and TN data collection and management that is compatible with various end-user devices and easily adaptable to a rapidly changing environment. Currently, the TCCR contains data on 2,261 subjects and data on more than 28,000 biospecimens. Data and biological samples collected by the TCCR are used in developing diagnostic, prevention, treatment, and survivorship strategies against TC. PMID:27168721

[Implementation of a new electronic patient record in surgery].

PubMed

Eggli, S; Holm, J

2001-12-01

The increasing amount of clinical data, intensified interest of patients in medical information, medical quality management and the recent cost explosion in health care systems have forced medical institutions to improve their strategy in handling medical data. In the orthopedic department (3,600 surgeries, 75 beds, 14,000 consultations) software application for comprehensive patient data management has been developed. When implementing the electronic patient history following criteria were evaluated: 1. software evaluation, 2. implementation, 3. work flow, 4. data security/system stability. In the first phase the functional character was defined. Implementation required 3 months after parametrization. The expense amounted to 130,000 DM (30 clients). The training requirements were one afternoon for the secretaries and a 2-h session for the residents. The access speed on medically relevant data averaged under 3 s. The average saving in working hours was approximately 5 h/week for the secretaries and 4 h/week for the residents. The saving in paper amounted to 36,000 sheets/year. In 3 operational years there were 3 server breakdowns. Evaluation of the saving on working hours showed that such a system can amortize within a year. The latest improvements in hardware and software technology made the electronic medical record with integrated quality-control practicable without massive expenditure. The system supplies an extensive platform of information for patient treatment and an instrument to evaluate the efficiency of therapy strategies independent of the clinical field.

Quantitative reactive modeling and verification.

PubMed

Henzinger, Thomas A

Formal verification aims to improve the quality of software by detecting errors before they do harm. At the basis of formal verification is the logical notion of correctness , which purports to capture whether or not a program behaves as desired. We suggest that the boolean partition of software into correct and incorrect programs falls short of the practical need to assess the behavior of software in a more nuanced fashion against multiple criteria. We therefore propose to introduce quantitative fitness measures for programs, specifically for measuring the function, performance, and robustness of reactive programs such as concurrent processes. This article describes the goals of the ERC Advanced Investigator Project QUAREM. The project aims to build and evaluate a theory of quantitative fitness measures for reactive models. Such a theory must strive to obtain quantitative generalizations of the paradigms that have been success stories in qualitative reactive modeling, such as compositionality, property-preserving abstraction and abstraction refinement, model checking, and synthesis. The theory will be evaluated not only in the context of software and hardware engineering, but also in the context of systems biology. In particular, we will use the quantitative reactive models and fitness measures developed in this project for testing hypotheses about the mechanisms behind data from biological experiments.

Communicating data quality through Web Map Services

NASA Astrophysics Data System (ADS)

Blower, Jon; Roberts, Charles; Griffiths, Guy; Lewis, Jane; Yang, Kevin

2013-04-01

The sharing and visualization of environmental data through spatial data infrastructures is becoming increasingly common. However, information about the quality of data is frequently unavailable or presented in an inconsistent fashion. ("Data quality" is a phrase with many possible meanings but here we define it as "fitness for purpose" - therefore different users have different notions of what constitutes a "high quality" dataset.) The GeoViQua project (www.geoviqua.org) is developing means for eliciting, formatting, discovering and visualizing quality information using ISO and Open Geospatial Consortium (OGC) standards. Here we describe one aspect of the innovations of the GeoViQua project. In this presentation, we shall demonstrate new developments in using Web Map Services to communicate data quality at the level of datasets, variables and individual samples. We shall outline a new draft set of conventions (known as "WMS-Q"), which describe a set of rules for using WMS to convey quality information (OGC draft Engineering Report 12-160). We shall demonstrate these conventions through new prototype software, based upon the widely-used ncWMS software, that applies these rules to enable the visualization of uncertainties in raster data such as satellite products and the results of numerical simulations. Many conceptual and practical issues have arisen from these experiments. How can source data be formatted so that a WMS implementation can detect the semantic links between variables (e.g. the links between a mean field and its variance)? The visualization of uncertainty can be a complex task - how can we provide users with the power and flexibility to choose an optimal strategy? How can we maintain compatibility (as far as possible) with existing WMS clients? We explore these questions with reference to existing standards and approaches, including UncertML, NetCDF-U and Styled Layer Descriptors.

Quality assurance and control issues for HF radar wave and current measurements

NASA Astrophysics Data System (ADS)

Wyatt, Lucy

2015-04-01

HF radars are now widely used to provide surface current measurements over wide areas of the coastal ocean for scientific and operational applications. In general data quality is acceptable for these applications but there remain issues that impact on the quantity and quality of the data. These include problems with calibration and interference which impact on both phased array (e.g. WERA, Pisces) and direction-finding (e.g. SeaSonde) radars. These same issues and others (e.g. signal-to-noise, in-cell current variability, antenna sidelobes) also impact on the quality and quantity of wave data that can be obtained. These issues will be discussed in this paper, illustrated with examples from deployments of WERA, Pisces and SeaSonde radars in the UK, Europe, USA and Australia. These issues involve both quality assurance (making sure the radars perform to spec and the software is fully operational) and in quality control (identifying problems with the data due to radar hardware or software performance issues and flagging these in the provided data streams). Recommendations for the former, and current practice (of the author and within the Australian Coastal Ocean Radar Network, ACORN*) for the latter, will be discussed. The quality control processes for wave measurement are not yet as well developed as those for currents and data from some deployments can be rather noisy. Some new methods, currently under development by SeaView Sensing Ltd and being tested with ACORN data, will be described and results presented. *ACORN is a facility of the Australian Integrated Marine Observing System, IMOS. IMOS is a national collaborative research infrastructure, supported by Australian Government. It is led by University of Tasmania in partnership with the Australian marine and climate science community.

A survey of Canadian medical physicists: software quality assurance of in‐house software

PubMed Central

Kelly, Diane

2015-01-01

This paper reports on a survey of medical physicists who write and use in‐house written software as part of their professional work. The goal of the survey was to assess the extent of in‐house software usage and the desire or need for related software quality guidelines. The survey contained eight multiple‐choice questions, a ranking question, and seven free text questions. The survey was sent to medical physicists associated with cancer centers across Canada. The respondents to the survey expressed interest in having guidelines to help them in their software‐related work, but also demonstrated extensive skills in the area of testing, safety, and communication. These existing skills form a basis for medical physicists to establish a set of software quality guidelines. PACS number: 87.55.Qr PMID:25679168

A Guide to Software Evaluation.

ERIC Educational Resources Information Center

Leonard, Rex; LeCroy, Barbara

Arguing that software evaluation is crucial to the quality of courseware available in a school, this paper begins by discussing reasons why microcomputers are making such a tremendous impact on education, and notes that, although the quality of software has improved over the years, the challenge for teachers to integrate computing into the…

76 FR 54800 - International Business Machines (IBM), Software Group Business Unit, Quality Assurance Group, San...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-02

... Machines (IBM), Software Group Business Unit, Quality Assurance Group, San Jose, California; Notice of... workers of International Business Machines (IBM), Software Group Business Unit, Optim Data Studio Tools QA... February 2, 2011 (76 FR 5832). The subject worker group supplies acceptance testing services, design...

Overview and technical and practical aspects for use of geostatistics in hazardous-, toxic-, and radioactive-waste-site investigations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bossong, C.R.; Karlinger, M.R.; Troutman, B.M.

1999-10-01

Technical and practical aspects of applying geostatistics are developed for individuals involved in investigation at hazardous-, toxic-, and radioactive-waste sites. Important geostatistical concepts, such as variograms and ordinary, universal, and indicator kriging, are described in general terms for introductory purposes and in more detail for practical applications. Variogram modeling using measured ground-water elevation data is described in detail to illustrate principles of stationarity, anisotropy, transformations, and cross validation. Several examples of kriging applications are described using ground-water-level elevations, bedrock elevations, and ground-water-quality data. A review of contemporary literature and selected public domain software associated with geostatistics also is provided, asmore » is a discussion of alternative methods for spatial modeling, including inverse distance weighting, triangulation, splines, trend-surface analysis, and simulation.« less

The Assistant for Specifying the Quality Software (ASQS) Operational Concept Document. Volume 1

DTIC Science & Technology

1990-09-01

Assistant in which the manager supplies system-specific characteristics and needs and the Assistant fills in the software quality concepts and methods. The...member(s) of the Computer Resources Working Group (CRWG) to aid in performing a software quality engineering study. Figure 3.4-1 outlines the...need to recovery from faults more likely than need _o provide alternative functions or interfaces), and more on Autcncmy - 27 - that Modularity

Section 3. The SPARROW Surface Water-Quality Model: Theory, Application and User Documentation

USGS Publications Warehouse

Schwarz, G.E.; Hoos, A.B.; Alexander, R.B.; Smith, R.A.

2006-01-01

SPARROW (SPAtially Referenced Regressions On Watershed attributes) is a watershed modeling technique for relating water-quality measurements made at a network of monitoring stations to attributes of the watersheds containing the stations. The core of the model consists of a nonlinear regression equation describing the non-conservative transport of contaminants from point and diffuse sources on land to rivers and through the stream and river network. The model predicts contaminant flux, concentration, and yield in streams and has been used to evaluate alternative hypotheses about the important contaminant sources and watershed properties that control transport over large spatial scales. This report provides documentation for the SPARROW modeling technique and computer software to guide users in constructing and applying basic SPARROW models. The documentation gives details of the SPARROW software, including the input data and installation requirements, and guidance in the specification, calibration, and application of basic SPARROW models, as well as descriptions of the model output and its interpretation. The documentation is intended for both researchers and water-resource managers with interest in using the results of existing models and developing and applying new SPARROW models. The documentation of the model is presented in two parts. Part 1 provides a theoretical and practical introduction to SPARROW modeling techniques, which includes a discussion of the objectives, conceptual attributes, and model infrastructure of SPARROW. Part 1 also includes background on the commonly used model specifications and the methods for estimating and evaluating parameters, evaluating model fit, and generating water-quality predictions and measures of uncertainty. Part 2 provides a user's guide to SPARROW, which includes a discussion of the software architecture and details of the model input requirements and output files, graphs, and maps. The text documentation and computer software are available on the Web at http://usgs.er.gov/sparrow/sparrow-mod/.

MCNP4A: Features and philosophy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hendricks, J.S.

This paper describes MCNP, states its philosophy, introduces a number of new features becoming available with version MCNP4A, and answers a number of questions asked by participants in the workshop. MCNP is a general-purpose three-dimensional neutron, photon and electron transport code. Its philosophy is ``Quality, Value and New Features.`` Quality is exemplified by new software quality assurance practices and a program of benchmarking against experiments. Value includes a strong emphasis on documentation and code portability. New features are the third priority. MCNP4A is now available at Los Alamos. New features in MCNP4A include enhanced statistical analysis, distributed processor multitasking, newmore » photon libraries, ENDF/B-VI capabilities, X-Windows graphics, dynamic memory allocation, expanded criticality output, periodic boundaries, plotting of particle tracks via SABRINA, and many other improvements. 23 refs.« less

Effectiveness of an automatic tracking software in underwater motion analysis.

PubMed

Magalhaes, Fabrício A; Sawacha, Zimi; Di Michele, Rocco; Cortesi, Matteo; Gatta, Giorgio; Fantozzi, Silvia

2013-01-01

Tracking of markers placed on anatomical landmarks is a common practice in sports science to perform the kinematic analysis that interests both athletes and coaches. Although different software programs have been developed to automatically track markers and/or features, none of them was specifically designed to analyze underwater motion. Hence, this study aimed to evaluate the effectiveness of a software developed for automatic tracking of underwater movements (DVP), based on the Kanade-Lucas-Tomasi feature tracker. Twenty-one video recordings of different aquatic exercises (n = 2940 markers' positions) were manually tracked to determine the markers' center coordinates. Then, the videos were automatically tracked using DVP and a commercially available software (COM). Since tracking techniques may produce false targets, an operator was instructed to stop the automatic procedure and to correct the position of the cursor when the distance between the calculated marker's coordinate and the reference one was higher than 4 pixels. The proportion of manual interventions required by the software was used as a measure of the degree of automation. Overall, manual interventions were 10.4% lower for DVP (7.4%) than for COM (17.8%). Moreover, when examining the different exercise modes separately, the percentage of manual interventions was 5.6% to 29.3% lower for DVP than for COM. Similar results were observed when analyzing the type of marker rather than the type of exercise, with 9.9% less manual interventions for DVP than for COM. In conclusion, based on these results, the developed automatic tracking software presented can be used as a valid and useful tool for underwater motion analysis. Key PointsThe availability of effective software for automatic tracking would represent a significant advance for the practical use of kinematic analysis in swimming and other aquatic sports.An important feature of automatic tracking software is to require limited human interventions and supervision, thus allowing short processing time.When tracking underwater movements, the degree of automation of the tracking procedure is influenced by the capability of the algorithm to overcome difficulties linked to the small target size, the low image quality and the presence of background clutters.The newly developed feature-tracking algorithm has shown a good automatic tracking effectiveness in underwater motion analysis with significantly smaller percentage of required manual interventions when compared to a commercial software.

Use of Soft Computing Technologies for a Qualitative and Reliable Engine Control System for Propulsion Systems

NASA Technical Reports Server (NTRS)

Trevino, Luis; Brown, Terry; Crumbley, R. T. (Technical Monitor)

2001-01-01

The problem to be addressed in this paper is to explore how the use of Soft Computing Technologies (SCT) could be employed to improve overall vehicle system safety, reliability, and rocket engine performance by development of a qualitative and reliable engine control system (QRECS). Specifically, this will be addressed by enhancing rocket engine control using SCT, innovative data mining tools, and sound software engineering practices used in Marshall's Flight Software Group (FSG). The principle goals for addressing the issue of quality are to improve software management, software development time, software maintenance, processor execution, fault tolerance and mitigation, and nonlinear control in power level transitions. The intent is not to discuss any shortcomings of existing engine control methodologies, but to provide alternative design choices for control, implementation, performance, and sustaining engineering, all relative to addressing the issue of reliability. The approaches outlined in this paper will require knowledge in the fields of rocket engine propulsion (system level), software engineering for embedded flight software systems, and soft computing technologies (i.e., neural networks, fuzzy logic, data mining, and Bayesian belief networks); some of which are briefed in this paper. For this effort, the targeted demonstration rocket engine testbed is the MC-1 engine (formerly FASTRAC) which is simulated with hardware and software in the Marshall Avionics & Software Testbed (MAST) laboratory that currently resides at NASA's Marshall Space Flight Center, building 4476, and is managed by the Avionics Department. A brief plan of action for design, development, implementation, and testing a Phase One effort for QRECS is given, along with expected results. Phase One will focus on development of a Smart Start Engine Module and a Mainstage Engine Module for proper engine start and mainstage engine operations. The overall intent is to demonstrate that by employing soft computing technologies, the quality and reliability of the overall scheme to engine controller development is further improved and vehicle safety is further insured. The final product that this paper proposes is an approach to development of an alternative low cost engine controller that would be capable of performing in unique vision spacecraft vehicles requiring low cost advanced avionics architectures for autonomous operations from engine pre-start to engine shutdown.

Exploring practical approaches to maximising data quality in electronic healthcare records in the primary care setting and associated benefits. Report of panel-led discussion held at SAPC in July 2014.

PubMed

Dungey, Sheena; Glew, Simon; Heyes, Barbara; Macleod, John; Tate, A Rosemary

2016-09-01

Electronic healthcare records provide information about patient care over time which not only affords the opportunity to improve patient care directly through effective monitoring and identification of care requirements but also offers a unique platform for both clinical and service-model research essential to the longer-term development of the health service. The quality of the recorded data can, however, be variable and can compromise the validity of data use both for primary and secondary purposes. In order to explore the challenges and benefits of and approaches to recording high quality primary care electronic records, a Clinical Practice Research Datalink (CPRD) sponsored workshop was held at the Society of Academic Primary Care (SAPC) conference in 2014 with the aim of engaging GPs and other data users. The workshop was held as a structured discussion, led by an expert panel and focused around three questions: (1) What are the data quality priorities for clinicians and researchers? How do these priorities differ or overlap? (2) What challenges might GPs face in provision of good data quality both for treating their patients and for research? Do these aims conflict? (3) What tools (such as data metrics and visualisations or software components) could assist the GP in improving data quality and patient management and could this tie in with analytical processes occurring at the research stage? The discussion highlighted both overlap and differences in the perceived data quality priorities and challenges for different user groups. Five key areas of focus were agreed upon and recommendations determined for moving forward in improving quality. The importance of good high quality electronic healthcare records has been set forth along with the need for a practical user-considered and collaborative approach to its improvement.

ERP Software Implementation Best Practices.

ERIC Educational Resources Information Center

Frantz, Pollyanne S.; Southerland, Arthur R.; Johnson, James T.

2002-01-01

Studied the perceptions of chief financial and information officers of enterprise resource planning (ERP) software implementation best practices. Usable responses from 159 respondents show consensus for the most part between the perceptions of the two groups and describe some best practices that represent common ground. (SLD)

Industry best practices for the software development life cycle

DOT National Transportation Integrated Search

2007-11-01

In the area of software development, there are many different views of what constitutes a best practice. The goal of this project was to identify a set of industry best practice techniques that fit the needs of the Montana Department of Transportatio...

Software Reviews.

ERIC Educational Resources Information Center

Davis, Shelly J., Ed.; Knaupp, Jon, Ed.

1984-01-01

Reviewed is computer software on: (1) classification of living things, a tutorial program for grades 5-10; and (2) polynomial practice using tiles, a drill-and-practice program for algebra students. (MNS)

Applying object-oriented software engineering at the BaBar collaboration

NASA Astrophysics Data System (ADS)

Jacobsen, Bob; BaBar Collaboration Reconstruction Software Group

1997-02-01

The BaBar experiment at SLAC will start taking data in 1999. We are attempting to build its reconstruction software using good software engineering practices, including the use of object-oriented technology. We summarize our experience to date with analysis and design activities, training, CASE and documentation tools, C++ programming practice and similar topics. The emphasis is on the practical issues of simultaneously introducing new techniques to a large collaboration while under a deadline for system delivery.

A contemporary case study illustrating the integration of health information technologies into the organisation and clinical practice of radiation oncology.

PubMed

Miller, Alexis Andrew; Phillips, Aaron K

The development of software in radiation oncology departments has seen the increase in capability from the Record and Verify software focused on patient safety to a fully-fledged Oncology Information System (OIS). This paper reports on the medical aspects of the implementation of a modern Oncology Information System (IMPAC MultiAccess, also known as the Siemens LANTIS) in a New Zealand hospital oncology department. The department was successful in translating paper procedures into electronic procedures, and the report focuses on the changes in approach to organisation and data use that occurred. The difficulties that were faced, which included procedural re-design, management of change, removal of paper, implementation cost, integration with the HIS, quality assurance and datasets, are highlighted along with the local solutions developed to overcome these problems.

Large-scale visualization projects for teaching software engineering.

PubMed

Müller, Christoph; Reina, Guido; Burch, Michael; Weiskopf, Daniel

2012-01-01

The University of Stuttgart's software engineering major complements the traditional computer science major with more practice-oriented education. Two-semester software projects in various application areas offered by the university's different computer science institutes are a successful building block in the curriculum. With this realistic, complex project setting, students experience the practice of software engineering, including software development processes, technologies, and soft skills. In particular, visualization-based projects are popular with students. Such projects offer them the opportunity to gain profound knowledge that would hardly be possible with only regular lectures and homework assignments.

Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective.

PubMed

Virginio, Luiz A; Ricarte, Ivan Luiz Marques

2015-01-01

Although Electronic Health Records (EHR) can offer benefits to the health care process, there is a growing body of evidence that these systems can also incur risks to patient safety when developed or used improperly. This work is a literature review to identify these risks from a software quality perspective. Therefore, the risks were classified based on the ISO/IEC 25010 software quality model. The risks identified were related mainly to the characteristics of "functional suitability" (i.e., software bugs) and "usability" (i.e., interface prone to user error). This work elucidates the fact that EHR quality problems can adversely affect patient safety, resulting in errors such as incorrect patient identification, incorrect calculation of medication dosages, and lack of access to patient data. Therefore, the risks presented here provide the basis for developers and EHR regulating bodies to pay attention to the quality aspects of these systems that can result in patient harm.

Revealing the ISO/IEC 9126-1 Clique Tree for COTS Software Evaluation

NASA Technical Reports Server (NTRS)

Morris, A. Terry

2007-01-01

Previous research has shown that acyclic dependency models, if they exist, can be extracted from software quality standards and that these models can be used to assess software safety and product quality. In the case of commercial off-the-shelf (COTS) software, the extracted dependency model can be used in a probabilistic Bayesian network context for COTS software evaluation. Furthermore, while experts typically employ Bayesian networks to encode domain knowledge, secondary structures (clique trees) from Bayesian network graphs can be used to determine the probabilistic distribution of any software variable (attribute) using any clique that contains that variable. Secondary structures, therefore, provide insight into the fundamental nature of graphical networks. This paper will apply secondary structure calculations to reveal the clique tree of the acyclic dependency model extracted from the ISO/IEC 9126-1 software quality standard. Suggestions will be provided to describe how the clique tree may be exploited to aid efficient transformation of an evaluation model.

How Safe Is Control Software

NASA Technical Reports Server (NTRS)

Dunn, William R.; Corliss, Lloyd D.

1991-01-01

Paper examines issue of software safety. Presents four case histories of software-safety analysis. Concludes that, to be safe, software, for all practical purposes, must be free of errors. Backup systems still needed to prevent catastrophic software failures.

A method for tailoring the information content of a software process model

NASA Technical Reports Server (NTRS)

Perkins, Sharon; Arend, Mark B.

1990-01-01

The framework is defined for a general method for selecting a necessary and sufficient subset of a general software life cycle's information products, to support new software development process. Procedures for characterizing problem domains in general and mapping to a tailored set of life cycle processes and products is presented. An overview of the method is shown using the following steps: (1) During the problem concept definition phase, perform standardized interviews and dialogs between developer and user, and between user and customer; (2) Generate a quality needs profile of the software to be developed, based on information gathered in step 1; (3) Translate the quality needs profile into a profile of quality criteria that must be met by the software to satisfy the quality needs; (4) Map the quality criteria to set of accepted processes and products for achieving each criterion; (5) Select the information products which match or support the accepted processes and product of step 4; and (6) Select the design methodology which produces the information products selected in step 5.

A method for tailoring the information content of a software process model

NASA Technical Reports Server (NTRS)

Perkins, Sharon; Arend, Mark B.

1990-01-01

The framework is defined for a general method for selecting a necessary and sufficient subset of a general software life cycle's information products, to support new software development process. Procedures for characterizing problem domains in general and mapping to a tailored set of life cycle processes and products is presented. An overview of the method is shown using the following steps: (1) During the problem concept definition phase, perform standardized interviews and dialogs between developer and user, and between user and customer; (2) Generate a quality needs profile of the software to be developed, based on information gathered in step 1; (3) Translate the quality needs profile into a profile of quality criteria that must be met by the software to satisfy the quality needs; (4) Map the quality criteria to a set of accepted processes and products for achieving each criterion; (5) select the information products which match or support the accepted processes and product of step 4; and (6) Select the design methodology which produces the information products selected in step 5.

Usefulness of the automatic quantitative estimation tool for cerebral blood flow: clinical assessment of the application software tool AQCEL.

PubMed

Momose, Mitsuhiro; Takaki, Akihiro; Matsushita, Tsuyoshi; Yanagisawa, Shin; Yano, Kesato; Miyasaka, Tadashi; Ogura, Yuka; Kadoya, Masumi

2011-01-01

AQCEL enables automatic reconstruction of single-photon emission computed tomogram (SPECT) without image degradation and quantitative analysis of cerebral blood flow (CBF) after the input of simple parameters. We ascertained the usefulness and quality of images obtained by the application software AQCEL in clinical practice. Twelve patients underwent brain perfusion SPECT using technetium-99m ethyl cysteinate dimer at rest and after acetazolamide (ACZ) loading. Images reconstructed using AQCEL were compared with those reconstructed using conventional filtered back projection (FBP) method for qualitative estimation. Two experienced nuclear medicine physicians interpreted the image quality using the following visual scores: 0, same; 1, slightly superior; 2, superior. For quantitative estimation, the mean CBF values of the normal hemisphere of the 12 patients using ACZ calculated by the AQCEL method were compared with those calculated by the conventional method. The CBF values of the 24 regions of the 3-dimensional stereotaxic region of interest template (3DSRT) calculated by the AQCEL method at rest and after ACZ loading were compared to those calculated by the conventional method. No significant qualitative difference was observed between the AQCEL and conventional FBP methods in the rest study. The average score by the AQCEL method was 0.25 ± 0.45 and that by the conventional method was 0.17 ± 0.39 (P = 0.34). There was a significant qualitative difference between the AQCEL and conventional methods in the ACZ loading study. The average score for AQCEL was 0.83 ± 0.58 and that for the conventional method was 0.08 ± 0.29 (P = 0.003). During quantitative estimation using ACZ, the mean CBF values of 12 patients calculated by the AQCEL method were 3-8% higher than those calculated by the conventional method. The square of the correlation coefficient between these methods was 0.995. While comparing the 24 3DSRT regions of 12 patients, the squares of the correlation coefficient between AQCEL and conventional methods were 0.973 and 0.986 for the normal and affected sides at rest, respectively, and 0.977 and 0.984 for the normal and affected sides after ACZ loading, respectively. The quality of images reconstructed using the application software AQCEL were superior to that obtained using conventional method after ACZ loading, and high correlations were shown in quantity at rest and after ACZ loading. This software can be applied to clinical practice and is a useful tool for improvement of reproducibility and throughput.

NASA's Approach to Software Assurance

NASA Technical Reports Server (NTRS)

Wetherholt, Martha

2015-01-01

NASA defines software assurance as: the planned and systematic set of activities that ensure conformance of software life cycle processes and products to requirements, standards, and procedures via quality, safety, reliability, and independent verification and validation. NASA's implementation of this approach to the quality, safety, reliability, security and verification and validation of software is brought together in one discipline, software assurance. Organizationally, NASA has software assurance at each NASA center, a Software Assurance Manager at NASA Headquarters, a Software Assurance Technical Fellow (currently the same person as the SA Manager), and an Independent Verification and Validation Organization with its own facility. An umbrella risk mitigation strategy for safety and mission success assurance of NASA's software, software assurance covers a wide area and is better structured to address the dynamic changes in how software is developed, used, and managed, as well as it's increasingly complex functionality. Being flexible, risk based, and prepared for challenges in software at NASA is essential, especially as much of our software is unique for each mission.

Measuring health care process quality with software quality measures.

PubMed

Yildiz, Ozkan; Demirörs, Onur

2012-01-01

Existing quality models focus on some specific diseases, clinics or clinical areas. Although they contain structure, process, or output type measures, there is no model which measures quality of health care processes comprehensively. In addition, due to the not measured overall process quality, hospitals cannot compare quality of processes internally and externally. To bring a solution to above problems, a new model is developed from software quality measures. We have adopted the ISO/IEC 9126 software quality standard for health care processes. Then, JCIAS (Joint Commission International Accreditation Standards for Hospitals) measurable elements were added to model scope for unifying functional requirements. Assessment (diagnosing) process measurement results are provided in this paper. After the application, it was concluded that the model determines weak and strong aspects of the processes, gives a more detailed picture for the process quality, and provides quantifiable information to hospitals to compare their processes with multiple organizations.

A Novel Survey to Examine the Relationship Between Health IT Adoption and Nurse-Physician Communication

PubMed Central

Pfeifer, Eric; Manojlovich, Milisa; Adler-Milstein, Julia

2016-01-01

Summary Background As EHR adoption in US hospitals becomes ubiquitous, a wide range of IT options are theoretically available to facilitate physician-nurse communication, but we know little about the adoption rate of specific technologies or the impact of their use. Objectives To measure adoption of hardware, software, and telephony relevant to nurse-physician communication in US hospitals. To assess the relationship between non-IT communication practices and hardware, software, and telephony adoption. To identify hospital characteristics associated with greater adoption of hardware, software, telephony, and non-IT communication practices. Methods We conducted a survey of 105 hospitals in the National Nursing Practice Network. The survey captured adoption of hardware, software, and telephony to support nurse-physician communication, along with non-IT communication practices. We calculated descriptive statistics and then created four indices, one for each category, by scoring degree of adoption of technologies or practices within each category. Next, we examined correlations between the three technology indices and the non-IT communication practices index. We used multivariate OLS regression to assess whether certain types of hospitals had higher index scores. Results The majority of hospitals surveyed have a range of hardware, software, and telephony tools available to support nurse-physician communication; we found substantial heterogeneity across hospitals in non-IT communication practices. More intensive non-IT communication was associated with greater adoption of software (r=0.31, p=0.01), but was not correlated with hardware or telephony. Medium-sized hospitals had lower adoption of software (r =-1.14,p=0.04) in comparison to small hospitals, while federally-owned hospitals had lower software (r=-2.57, p=0.02) and hardware adoption (r=-1.63, p=0.01). Conclusions The positive relationship between non-IT communication and level of software adoption suggests that there is a complementary, rather than substitutive, relationship. Our results suggest that some technologies with the potential to further enhance communication, such as CPOE and secure messaging, are not being utilized to their full potential in many hospitals. PMID:27999841

Electronic information and clinical decision support for prescribing: state of play in Australian general practice

PubMed Central

Robertson, Jane; Moxey, Annette J; Newby, David A; Gillies, Malcolm B; Williamson, Margaret; Pearson, Sallie-Anne

2011-01-01

Background. Investments in eHealth worldwide have been mirrored in Australia, with >90% of general practices computerized. Recent eHealth incentives promote the use of up to date electronic information sources relevant to general practice with flexibility in mode of access. Objective. To determine GPs’ access to and use of electronic information sources and computerized clinical decision support systems (CDSSs) for prescribing. Methods. Semi-structured interviews were conducted with 18 experienced GPs and nine GP trainees in New South Wales, Australia in 2008. A thematic analysis of interview transcripts was undertaken. Results. Information needs varied with clinical experience, and people resources (specialists, GP peers and supervisors for trainees) were often preferred over written formats. Experienced GPs used a small number of electronic resources and accessed them infrequently. Familiarity from training and early clinical practice and easy access were dominant influences on resource use. Practice time constraints meant relevant information needed to be readily accessible during consultations, requiring integration or direct access from prescribing software. Quality of electronic resource content was assumed and cost a barrier for some GPs. Conclusions. The current Australian practice incentives do not prescribe which information resources GPs should use. Without integration into practice computing systems, uptake and routine use seem unlikely. CDSS developments must recognize the time pressures of practice, preference for integration and cost concerns. Minimum standards are required to ensure that high-quality information resources are integrated and regularly updated. Without standards, the anticipated benefits of computerization on patient safety and health outcomes will be uncertain. PMID:21109619

Wildlife software: procedures for publication of computer software

USGS Publications Warehouse

Samuel, M.D.

1990-01-01

Computers and computer software have become an integral part of the practice of wildlife science. Computers now play an important role in teaching, research, and management applications. Because of the specialized nature of wildlife problems, specific computer software is usually required to address a given problem (e.g., home range analysis). This type of software is not usually available from commercial vendors and therefore must be developed by those wildlife professionals with particular skill in computer programming. Current journal publication practices generally prevent a detailed description of computer software associated with new techniques. In addition, peer review of journal articles does not usually include a review of associated computer software. Thus, many wildlife professionals are usually unaware of computer software that would meet their needs or of major improvements in software they commonly use. Indeed most users of wildlife software learn of new programs or important changes only by word of mouth.

Improving the quality of care of patients with rheumatic disease using patient-centric electronic redesign software.

PubMed

Newman, Eric D; Lerch, Virginia; Billet, Jon; Berger, Andrea; Kirchner, H Lester

2015-04-01

Electronic health records (EHRs) are not optimized for chronic disease management. To improve the quality of care for patients with rheumatic disease, we developed electronic data capture, aggregation, display, and documentation software. The software integrated and reassembled information from the patient (via a touchscreen questionnaire), nurse, physician, and EHR into a series of actionable views. Core functions included trends over time, rheumatology-related demographics, and documentation for patient and provider. Quality measures collected included patient-reported outcomes, disease activity, and function. The software was tested and implemented in 3 rheumatology departments, and integrated into routine care delivery. Post-implementation evaluation measured adoption, efficiency, productivity, and patient perception. Over 2 years, 6,725 patients completed 19,786 touchscreen questionnaires. The software was adopted for use by 86% of patients and rheumatologists. Chart review and documentation time trended downward, and productivity increased by 26%. Patient satisfaction, activation, and adherence remained unchanged, although pre-implementation values were high. A strong correlation was seen between use of the software and disease control (weighted Pearson's correlation coefficient 0.5927, P = 0.0095), and a relative increase in patients with low disease activity of 3% per quarter was noted. We describe innovative software that aggregates, stores, and displays information vital to improving the quality of care for patients with chronic rheumatic disease. The software was well-adopted by patients and providers. Post-implementation, significant improvements in quality of care, efficiency of care, and productivity were demonstrated. Copyright © 2015 by the American College of Rheumatology.

Software Quality Assurance and Controls Standard

DTIC Science & Technology

2010-04-27

Software Quality Assurance d C t l St d dan on ro s an ar Sue Carroll Principal Software Quality Analyst, SAS John Wal z VP Technology and...for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that...Cycle (SLC) process? • What is in a SQA Process? • Where are SQA Controls? • What is the SQA standards history? Wh t i h i i SQA?• a s c ang ng n

Software assurance standard

NASA Technical Reports Server (NTRS)

1992-01-01

This standard specifies the software assurance program for the provider of software. It also delineates the assurance activities for the provider and the assurance data that are to be furnished by the provider to the acquirer. In any software development effort, the provider is the entity or individual that actually designs, develops, and implements the software product, while the acquirer is the entity or individual who specifies the requirements and accepts the resulting products. This standard specifies at a high level an overall software assurance program for software developed for and by NASA. Assurance includes the disciplines of quality assurance, quality engineering, verification and validation, nonconformance reporting and corrective action, safety assurance, and security assurance. The application of these disciplines during a software development life cycle is called software assurance. Subsequent lower-level standards will specify the specific processes within these disciplines.

Comparison of quality control software tools for diffusion tensor imaging.

PubMed

Liu, Bilan; Zhu, Tong; Zhong, Jianhui

2015-04-01

Image quality of diffusion tensor imaging (DTI) is critical for image interpretation, diagnostic accuracy and efficiency. However, DTI is susceptible to numerous detrimental artifacts that may impair the reliability and validity of the obtained data. Although many quality control (QC) software tools are being developed and are widely used and each has its different tradeoffs, there is still no general agreement on an image quality control routine for DTIs, and the practical impact of these tradeoffs is not well studied. An objective comparison that identifies the pros and cons of each of the QC tools will be helpful for the users to make the best choice among tools for specific DTI applications. This study aims to quantitatively compare the effectiveness of three popular QC tools including DTI studio (Johns Hopkins University), DTIprep (University of North Carolina at Chapel Hill, University of Iowa and University of Utah) and TORTOISE (National Institute of Health). Both synthetic and in vivo human brain data were used to quantify adverse effects of major DTI artifacts to tensor calculation as well as the effectiveness of different QC tools in identifying and correcting these artifacts. The technical basis of each tool was discussed, and the ways in which particular techniques affect the output of each of the tools were analyzed. The different functions and I/O formats that three QC tools provide for building a general DTI processing pipeline and integration with other popular image processing tools were also discussed. Copyright © 2015 Elsevier Inc. All rights reserved.

Agile Methods for Open Source Safety-Critical Software

PubMed Central

Enquobahrie, Andinet; Ibanez, Luis; Cheng, Patrick; Yaniv, Ziv; Cleary, Kevin; Kokoori, Shylaja; Muffih, Benjamin; Heidenreich, John

2011-01-01

The introduction of software technology in a life-dependent environment requires the development team to execute a process that ensures a high level of software reliability and correctness. Despite their popularity, agile methods are generally assumed to be inappropriate as a process family in these environments due to their lack of emphasis on documentation, traceability, and other formal techniques. Agile methods, notably Scrum, favor empirical process control, or small constant adjustments in a tight feedback loop. This paper challenges the assumption that agile methods are inappropriate for safety-critical software development. Agile methods are flexible enough to encourage the right amount of ceremony; therefore if safety-critical systems require greater emphasis on activities like formal specification and requirements management, then an agile process will include these as necessary activities. Furthermore, agile methods focus more on continuous process management and code-level quality than classic software engineering process models. We present our experiences on the image-guided surgical toolkit (IGSTK) project as a backdrop. IGSTK is an open source software project employing agile practices since 2004. We started with the assumption that a lighter process is better, focused on evolving code, and only adding process elements as the need arose. IGSTK has been adopted by teaching hospitals and research labs, and used for clinical trials. Agile methods have matured since the academic community suggested they are not suitable for safety-critical systems almost a decade ago, we present our experiences as a case study for renewing the discussion. PMID:21799545

Agile Methods for Open Source Safety-Critical Software.

PubMed

Gary, Kevin; Enquobahrie, Andinet; Ibanez, Luis; Cheng, Patrick; Yaniv, Ziv; Cleary, Kevin; Kokoori, Shylaja; Muffih, Benjamin; Heidenreich, John

2011-08-01

The introduction of software technology in a life-dependent environment requires the development team to execute a process that ensures a high level of software reliability and correctness. Despite their popularity, agile methods are generally assumed to be inappropriate as a process family in these environments due to their lack of emphasis on documentation, traceability, and other formal techniques. Agile methods, notably Scrum, favor empirical process control, or small constant adjustments in a tight feedback loop. This paper challenges the assumption that agile methods are inappropriate for safety-critical software development. Agile methods are flexible enough to encourage the rightamount of ceremony; therefore if safety-critical systems require greater emphasis on activities like formal specification and requirements management, then an agile process will include these as necessary activities. Furthermore, agile methods focus more on continuous process management and code-level quality than classic software engineering process models. We present our experiences on the image-guided surgical toolkit (IGSTK) project as a backdrop. IGSTK is an open source software project employing agile practices since 2004. We started with the assumption that a lighter process is better, focused on evolving code, and only adding process elements as the need arose. IGSTK has been adopted by teaching hospitals and research labs, and used for clinical trials. Agile methods have matured since the academic community suggested they are not suitable for safety-critical systems almost a decade ago, we present our experiences as a case study for renewing the discussion.

Integrated software system for improving medical equipment management.

PubMed

Bliznakov, Z; Pappous, G; Bliznakova, K; Pallikarakis, N

2003-01-01

The evolution of biomedical technology has led to an extraordinary use of medical devices in health care delivery. During the last decade, clinical engineering departments (CEDs) turned toward computerization and application of specific software systems for medical equipment management in order to improve their services and monitor outcomes. Recently, much emphasis has been given to patient safety. Through its Medical Device Directives, the European Union has required all member nations to use a vigilance system to prevent the reoccurrence of adverse events that could lead to injuries or death of patients or personnel as a result of equipment malfunction or improper use. The World Health Organization also has made this issue a high priority and has prepared a number of actions and recommendations. In the present workplace, a new integrated, Windows-oriented system is proposed, addressing all tasks of CEDs but also offering a global approach to their management needs, including vigilance. The system architecture is based on a star model, consisting of a central core module and peripheral units. Its development has been based on the integration of 3 software modules, each one addressing specific predefined tasks. The main features of this system include equipment acquisition and replacement management, inventory archiving and monitoring, follow up on scheduled maintenance, corrective maintenance, user training, data analysis, and reports. It also incorporates vigilance monitoring and information exchange for adverse events, together with a specific application for quality-control procedures. The system offers clinical engineers the ability to monitor and evaluate the quality and cost-effectiveness of the service provided by means of quality and cost indicators. Particular emphasis has been placed on the use of harmonized standards with regard to medical device nomenclature and classification. The system's practical applications have been demonstrated through a pilot evaluation trial.

Desktop software to identify patients eligible for recruitment into a clinical trial: using SARMA to recruit to the ROAD feasibility trial.

PubMed

Treweek, Shaun; Pearson, Ewan; Smith, Natalie; Neville, Ron; Sargeant, Paul; Boswell, Brian; Sullivan, Frank

2010-01-01

Recruitment to trials in primary care is often difficult, particularly when practice staff need to identify study participants with acute conditions during consultations. The Scottish Acute Recruitment Management Application (SARMA) system is linked to general practice electronic medical record (EMR) systems and is designed to provide recruitment support to multi-centre trials by screening patients against trial inclusion criteria and alerting practice staff if the patient appears eligible. For patients willing to learn more about the trial, the software allows practice staff to send the patient's contact details to the research team by text message. To evaluate the ability of the software to support trial recruitment. Software evaluation embedded in a randomised controlled trial. Five general practices in Tayside and Fife, Scotland. SARMA was used to support recruitment to a feasibility trial (the Response to Oral Agents in Diabetes, or ROAD trial) looking at users of oral therapy in diabetes. The technical performance of the software and its utility as a recruitment tool were evaluated. The software was successfully installed at four of the five general practices and recruited 11 of the 29 participants for ROAD (other methods were letter and direct invitation by a practice nurse) and had a recruitment return of 35% (11 of 31 texts sent led to a recruitment). Screen failures were relatively low (7 of 31 referred). Practice staff members were positive about the system. An automated recruitment tool can support primary care trials in Scotland and has the potential to support recruitment in other jurisdictions. It offers a low-cost supplement to other trial recruitment methods and is likely to have a much lower screen failure rate than blanket approaches such as mailshots and newspaper campaigns.

Projecting manpower to attain quality

NASA Technical Reports Server (NTRS)

Rone, K. Y.

1983-01-01

The resulting model is useful as a projection tool but must be validated in order to be used as an on-going software cost engineering tool. A procedure is developed to facilitate the tracking of model projections and actual data to allow the model to be tuned. Finally, since the model must be used in an environment of overlapping development activities on a progression of software elements in development and maintenance, a manpower allocation model is developed for use in a steady state development/maintenance environment. In these days of soaring software costs it becomes increasingly important to properly manage a software development project. One element of the management task is the projection and tracking of manpower required to perform the task. In addition, since the total cost of the task is directly related to the initial quality built into the software, it becomes a necessity to project the development manpower in a way to attain that quality. An approach to projecting and tracking manpower with quality in mind is described.

Analysis of quality raw data of second generation sequencers with Quality Assessment Software.

PubMed

Ramos, Rommel Tj; Carneiro, Adriana R; Baumbach, Jan; Azevedo, Vasco; Schneider, Maria Pc; Silva, Artur

2011-04-18

Second generation technologies have advantages over Sanger; however, they have resulted in new challenges for the genome construction process, especially because of the small size of the reads, despite the high degree of coverage. Independent of the program chosen for the construction process, DNA sequences are superimposed, based on identity, to extend the reads, generating contigs; mismatches indicate a lack of homology and are not included. This process improves our confidence in the sequences that are generated. We developed Quality Assessment Software, with which one can review graphs showing the distribution of quality values from the sequencing reads. This software allow us to adopt more stringent quality standards for sequence data, based on quality-graph analysis and estimated coverage after applying the quality filter, providing acceptable sequence coverage for genome construction from short reads. Quality filtering is a fundamental step in the process of constructing genomes, as it reduces the frequency of incorrect alignments that are caused by measuring errors, which can occur during the construction process due to the size of the reads, provoking misassemblies. Application of quality filters to sequence data, using the software Quality Assessment, along with graphing analyses, provided greater precision in the definition of cutoff parameters, which increased the accuracy of genome construction.

A quality-refinement process for medical imaging applications.

PubMed

Neuhaus, J; Maleike, D; Nolden, M; Kenngott, H-G; Meinzer, H-P; Wolf, I

2009-01-01

To introduce and evaluate a process for refinement of software quality that is suitable to research groups. In order to avoid constraining researchers too much, the quality improvement process has to be designed carefully. The scope of this paper is to present and evaluate a process to advance quality aspects of existing research prototypes in order to make them ready for initial clinical studies. The proposed process is tailored for research environments and therefore more lightweight than traditional quality management processes. Focus on quality criteria that are important at the given stage of the software life cycle. Usage of tools that automate aspects of the process is emphasized. To evaluate the additional effort that comes along with the process, it was exemplarily applied for eight prototypical software modules for medical image processing. The introduced process has been applied to improve the quality of all prototypes so that they could be successfully used in clinical studies. The quality refinement yielded an average of 13 person days of additional effort per project. Overall, 107 bugs were found and resolved by applying the process. Careful selection of quality criteria and the usage of automated process tools lead to a lightweight quality refinement process suitable for scientific research groups that can be applied to ensure a successful transfer of technical software prototypes into clinical research workflows.

The impact of working memory and the “process of process modelling” on model quality: Investigating experienced versus inexperienced modellers

NASA Astrophysics Data System (ADS)

Martini, Markus; Pinggera, Jakob; Neurauter, Manuel; Sachse, Pierre; Furtner, Marco R.; Weber, Barbara

2016-05-01

A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality is lacking. The present study investigated the role of cognitive processes as well as modelling processes in creating a PM in experienced and inexperienced modellers. Specifically, two working memory (WM) functions (holding and processing of information and relational integration) and three process of process modelling phases (comprehension, modelling, and reconciliation) were related to PM quality. Our results show that the WM function of relational integration was positively related to PM quality in both modelling groups. The ratio of comprehension phases was negatively related to PM quality in inexperienced modellers and the ratio of reconciliation phases was positively related to PM quality in experienced modellers. Our research reveals central cognitive mechanisms in process modelling and has potential practical implications for the development of modelling software and teaching the craft of process modelling.

The impact of working memory and the “process of process modelling” on model quality: Investigating experienced versus inexperienced modellers

PubMed Central

Martini, Markus; Pinggera, Jakob; Neurauter, Manuel; Sachse, Pierre; Furtner, Marco R.; Weber, Barbara

2016-01-01

A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality is lacking. The present study investigated the role of cognitive processes as well as modelling processes in creating a PM in experienced and inexperienced modellers. Specifically, two working memory (WM) functions (holding and processing of information and relational integration) and three process of process modelling phases (comprehension, modelling, and reconciliation) were related to PM quality. Our results show that the WM function of relational integration was positively related to PM quality in both modelling groups. The ratio of comprehension phases was negatively related to PM quality in inexperienced modellers and the ratio of reconciliation phases was positively related to PM quality in experienced modellers. Our research reveals central cognitive mechanisms in process modelling and has potential practical implications for the development of modelling software and teaching the craft of process modelling. PMID:27157858

The impact of working memory and the "process of process modelling" on model quality: Investigating experienced versus inexperienced modellers.

PubMed

Martini, Markus; Pinggera, Jakob; Neurauter, Manuel; Sachse, Pierre; Furtner, Marco R; Weber, Barbara

2016-05-09

A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality is lacking. The present study investigated the role of cognitive processes as well as modelling processes in creating a PM in experienced and inexperienced modellers. Specifically, two working memory (WM) functions (holding and processing of information and relational integration) and three process of process modelling phases (comprehension, modelling, and reconciliation) were related to PM quality. Our results show that the WM function of relational integration was positively related to PM quality in both modelling groups. The ratio of comprehension phases was negatively related to PM quality in inexperienced modellers and the ratio of reconciliation phases was positively related to PM quality in experienced modellers. Our research reveals central cognitive mechanisms in process modelling and has potential practical implications for the development of modelling software and teaching the craft of process modelling.

High-Throughput Method for Strontium Isotope Analysis by Multi-Collector-Inductively Coupled Plasma-Mass Spectrometer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wall, Andrew J.; Capo, Rosemary C.; Stewart, Brian W.

2016-09-22

This technical report presents the details of the Sr column configuration and the high-throughput Sr separation protocol. Data showing the performance of the method as well as the best practices for optimizing Sr isotope analysis by MC-ICP-MS is presented. Lastly, this report offers tools for data handling and data reduction of Sr isotope results from the Thermo Scientific Neptune software to assist in data quality assurance, which help avoid issues of data glut associated with high sample throughput rapid analysis.

High-Throughput Method for Strontium Isotope Analysis by Multi-Collector-Inductively Coupled Plasma-Mass Spectrometer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hakala, Jacqueline Alexandra

2016-11-22

This technical report presents the details of the Sr column configuration and the high-throughput Sr separation protocol. Data showing the performance of the method as well as the best practices for optimizing Sr isotope analysis by MC-ICP-MS is presented. Lastly, this report offers tools for data handling and data reduction of Sr isotope results from the Thermo Scientific Neptune software to assist in data quality assurance, which help avoid issues of data glut associated with high sample throughput rapid analysis.

SIMULATION TOOL KIT FOR INDOOR AIR QUALITY AND INHALATION EXPOSURE (IAQX) VERSION 1.0 USER'S GUIDE

EPA Science Inventory

The User's Guide describes a Microsoft Windows-based indoor air quality (IAQ) simulation software package designed Simulation Tool Kit for Indoor Air Quality and Inhalation Exposure, or IAQX for short. This software complements and supplements existing IAQ simulation programs and...

Digital radiography: optimization of image quality and dose using multi-frequency software.

PubMed

Precht, H; Gerke, O; Rosendahl, K; Tingberg, A; Waaler, D

2012-09-01

New developments in processing of digital radiographs (DR), including multi-frequency processing (MFP), allow optimization of image quality and radiation dose. This is particularly promising in children as they are believed to be more sensitive to ionizing radiation than adults. To examine whether the use of MFP software reduces the radiation dose without compromising quality at DR of the femur in 5-year-old-equivalent anthropomorphic and technical phantoms. A total of 110 images of an anthropomorphic phantom were imaged on a DR system (Canon DR with CXDI-50 C detector and MLT[S] software) and analyzed by three pediatric radiologists using Visual Grading Analysis. In addition, 3,500 images taken of a technical contrast-detail phantom (CDRAD 2.0) provide an objective image-quality assessment. Optimal image-quality was maintained at a dose reduction of 61% with MLT(S) optimized images. Even for images of diagnostic quality, MLT(S) provided a dose reduction of 88% as compared to the reference image. Software impact on image quality was found significant for dose (mAs), dynamic range dark region and frequency band. By optimizing image processing parameters, a significant dose reduction is possible without significant loss of image quality.

Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments

PubMed Central

Sachs, Christian Carsten; Grünberger, Alexander; Helfrich, Stefan; Probst, Christopher; Wiechert, Wolfgang; Kohlheyer, Dietrich; Nöh, Katharina

2016-01-01

Background Microfluidic lab-on-chip technology combined with live-cell imaging has enabled the observation of single cells in their spatio-temporal context. The mother machine (MM) cultivation system is particularly attractive for the long-term investigation of rod-shaped bacteria since it facilitates continuous cultivation and observation of individual cells over many generations in a highly parallelized manner. To date, the lack of fully automated image analysis software limits the practical applicability of the MM as a phenotypic screening tool. Results We present an image analysis pipeline for the automated processing of MM time lapse image stacks. The pipeline supports all analysis steps, i.e., image registration, orientation correction, channel/cell detection, cell tracking, and result visualization. Tailored algorithms account for the specialized MM layout to enable a robust automated analysis. Image data generated in a two-day growth study (≈ 90 GB) is analyzed in ≈ 30 min with negligible differences in growth rate between automated and manual evaluation quality. The proposed methods are implemented in the software molyso (MOther machine AnaLYsis SOftware) that provides a new profiling tool to analyze unbiasedly hitherto inaccessible large-scale MM image stacks. Conclusion Presented is the software molyso, a ready-to-use open source software (BSD-licensed) for the unsupervised analysis of MM time-lapse image stacks. molyso source code and user manual are available at https://github.com/modsim/molyso. PMID:27661996

Development practices and lessons learned in developing SimPEG

NASA Astrophysics Data System (ADS)

Cockett, R.; Heagy, L. J.; Kang, S.; Rosenkjaer, G. K.

2015-12-01

Inverse modelling provides a mathematical framework for constructing a model of physical property distributions in the subsurface that are consistent with the data collected in geophysical surveys. The geosciences are increasingly moving towards the integration of geological, geophysical, and hydrological information to better characterize the subsurface. This integration must span disciplines and is not only challenging scientifically, but additionally the inconsistencies between conventions often makes implementations complicated, non­ reproducible, or inefficient. SimPEG is an open-source, multi-university effort aimed at providing a generalized framework for solving forward and inverse problems. SimPEG includes finite volume discretizations on structured and unstructured meshes, interfaces to standard numerical solver packages, convex optimization algorithms, model parameterizations, and visualization routines. The SimPEG package (http://simpeg.xyz) supports an ecosystem of forward and inverse modelling applications, including electromagnetics, vadose zone flow, seismic, and potential­ fields, that are all written with a common interface and toolbox. The goal of SimPEG is to support a community of researchers with well-tested, extensible tools, and encourage transparency and reproducibility both of the SimPEG software and the geoscientific research it is applied to. In this presentation, we will share some of the lessons we have learned in designing the modular infrastructure, testing and development practices of SimPEG. We will discuss our use of version control, extensive unit-testing, continuous integration, documentation, issue tracking, and resources that facilitate communication between existing team members and allows new researchers to get involved. These practices have enabled the use of SimPEG in research, industry, and education as well as the ability to support a growing number of dependent repositories and applications. We hope that sharing our practices and experiences will help other researchers who are creating communities around their own scientific software. As this session suggests, "software is critical to the success of science," but, it is the *communities* of researchers that must be supported as we strive to create top quality research tools.

Revisiting the Procedures for the Vector Data Quality Assurance in Practice

NASA Astrophysics Data System (ADS)

Erdoğan, M.; Torun, A.; Boyacı, D.

2012-07-01

Immense use of topographical data in spatial data visualization, business GIS (Geographic Information Systems) solutions and applications, mobile and location-based services forced the topo-data providers to create standard, up-to-date and complete data sets in a sustainable frame. Data quality has been studied and researched for more than two decades. There have been un-countable numbers of references on its semantics, its conceptual logical and representations and many applications on spatial databases and GIS. However, there is a gap between research and practice in the sense of spatial data quality which increases the costs and decreases the efficiency of data production. Spatial data quality is well-known by academia and industry but usually in different context. The research on spatial data quality stated several issues having practical use such as descriptive information, metadata, fulfillment of spatial relationships among data, integrity measures, geometric constraints etc. The industry and data producers realize them in three stages; pre-, co- and post data capturing. The pre-data capturing stage covers semantic modelling, data definition, cataloguing, modelling, data dictionary and schema creation processes. The co-data capturing stage covers general rules of spatial relationships, data and model specific rules such as topologic and model building relationships, geometric threshold, data extraction guidelines, object-object, object-belonging class, object-non-belonging class, class-class relationships to be taken into account during data capturing. And post-data capturing stage covers specified QC (quality check) benchmarks and checking compliance to general and specific rules. The vector data quality criteria are different from the views of producers and users. But these criteria are generally driven by the needs, expectations and feedbacks of the users. This paper presents a practical method which closes the gap between theory and practice. Development of spatial data quality concepts into developments and application requires existence of conceptual, logical and most importantly physical existence of data model, rules and knowledge of realization in a form of geo-spatial data. The applicable metrics and thresholds are determined on this concrete base. This study discusses application of geo-spatial data quality issues and QA (quality assurance) and QC procedures in the topographic data production. Firstly we introduce MGCP (Multinational Geospatial Co-production Program) data profile of NATO (North Atlantic Treaty Organization) DFDD (DGIWG Feature Data Dictionary), the requirements of data owner, the view of data producers for both data capturing and QC and finally QA to fulfil user needs. Then, our practical and new approach which divides the quality into three phases is introduced. Finally, implementation of our approach to accomplish metrics, measures and thresholds of quality definitions is discussed. In this paper, especially geometry and semantics quality and quality control procedures that can be performed by the producers are discussed. Some applicable best-practices that we experienced on techniques of quality control, defining regulations that define the objectives and data production procedures are given in the final remarks. These quality control procedures should include the visual checks over the source data, captured vector data and printouts, some automatic checks that can be performed by software and some semi-automatic checks by the interaction with quality control personnel. Finally, these quality control procedures should ensure the geometric, semantic, attribution and metadata quality of vector data.

77 FR 50726 - Software Requirement Specifications for Digital Computer Software and Complex Electronics Used in...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-22

... Computer Software and Complex Electronics Used in Safety Systems of Nuclear Power Plants AGENCY: Nuclear...-1209, ``Software Requirement Specifications for Digital Computer Software and Complex Electronics used... Electronics Engineers (ANSI/IEEE) Standard 830-1998, ``IEEE Recommended Practice for Software Requirements...

Urban Stormwater Management Model and Tools for Designing Stormwater Management of Green Infrastructure Practices

NASA Astrophysics Data System (ADS)

Haris, H.; Chow, M. F.; Usman, F.; Sidek, L. M.; Roseli, Z. A.; Norlida, M. D.

2016-03-01

Urbanization is growing rapidly in Malaysia. Rapid urbanization has known to have several negative impacts towards hydrological cycle due to decreasing of pervious area and deterioration of water quality in stormwater runoff. One of the negative impacts of urbanization is the congestion of the stormwater drainage system and this situation leading to flash flood problem and water quality degradation. There are many urban stormwater management softwares available in the market such as Storm Water Drainage System design and analysis program (DRAINS), Urban Drainage and Sewer Model (MOUSE), InfoWorks River Simulation (InfoWork RS), Hydrological Simulation Program-Fortran (HSPF), Distributed Routing Rainfall-Runoff Model (DR3M), Storm Water Management Model (SWMM), XP Storm Water Management Model (XPSWMM), MIKE-SWMM, Quality-Quantity Simulators (QQS), Storage, Treatment, Overflow, Runoff Model (STORM), and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS). In this paper, we are going to discuss briefly about several softwares and their functionality, accessibility, characteristics and components in the quantity analysis of the hydrological design software and compare it with MSMA Design Aid and Database. Green Infrastructure (GI) is one of the main topics that has widely been discussed all over the world. Every development in the urban area is related to GI. GI can be defined as green area build in the develop area such as forest, park, wetland or floodway. The role of GI is to improve life standard such as water filtration or flood control. Among the twenty models that have been compared to MSMA SME, ten models were selected to conduct a comprehensive review for this study. These are known to be widely accepted by water resource researchers. These ten tools are further classified into three major categories as models that address the stormwater management ability of GI in terms of quantity and quality, models that have the capability of conducting the economic analysis of GI and models that can address both stormwater management and economic aspects together.

Implementing personal digital assistant documentation of pharmacist interventions in a military treatment facility.

PubMed

Ford, Stephen; Illich, Stan; Smith, Lisa; Franklin, Arthur

2006-01-01

To describe the use of personal digital assistants (PDAs) in documenting pharmacists' clinical interventions. Evans Army Community Hospital (EACH), a 78-bed military treatment facility, in Colorado Springs. Pharmacists on staff at EACH. All pharmacists at EACH used PDAs with the pilot software to record interventions for 1 month. The program underwent final design changes and then became the sole source for recording pharmacist interventions. The results of this project are being evaluated every 3 months for the first year and yearly thereafter. Visual CE (Syware Inc. Cambridge, Mass.) software was selected to develop fields for the documentation tool. This software is simple and easy to use, and users can retrieve reports of interventions from both inpatient and outpatient sections. The software needed to be designed so that data entry would only take a few minutes and ad hoc reports could be produced easily. Number of pharmacist interventions reported, time spent in clinical interventions, and outcome of clinical intervention. Implementing a PDA-based system for documenting pharmacist interventions across ambulatory, inpatient, and clinical services dramatically increased reporting during the first 6 months after implementation (August 2004-February 2005). After initial fielding, clinical pharmacists in advanced practice settings (such as disease management clinic, anticoagulation clinic) recognized a need to tailor the program to their specific activities, which resulted in a spin-off program unique to their practice roles. A PDA-based system for documenting clinical interventions at a military treatment facility increased reporting of interventions across all pharmacy points of service. Pharmacy leadership used these data to document the impact of pharmacist interventions on safety and quality of pharmaceutical care provided.

Unisys' experience in software quality and productivity management of an existing system

NASA Technical Reports Server (NTRS)

Munson, John B.

1988-01-01

A summary of Quality Improvement techniques, implementation, and results in the maintenance, management, and modification of large software systems for the Space Shuttle Program's ground-based systems is provided.

Quality and standardization of telecommunication switching system software

NASA Astrophysics Data System (ADS)

Ranko, K.; Hivensaio, J.; Myllykangas, A.

1981-12-01

The purpose of this paper has been to illustrate quality and standardization of switching system software from the authors point of view with the aim of developing standardization in the user environment.

Practice management based on risk assessment.

PubMed

Sandberg, Hans

2004-01-01

The management of a dental practice is most often focused on what clinicians do (production of items), and not so much on what is achieved in terms of oral health. The main reason for this is probably that it is easier to measure production and more difficult to measure health outcome. This paper presents a model based on individual risk assessment that aims to achieve a financially sound economy and good oral health. The close-to-the-clinic management tool, the HIDEP Model (Health Improvement in a DEntal Practice) was pioneered initially in Sweden at the end of 1980s. The experience over a 15-year period with different elements of the model is presented, including: the basis of examination and risk assessment; motivation; task delegation and leadership issues; health-finance evaluations; and quality development within a dental clinic. DentiGroupXL, a software program designed to support the work based on the model, is also described.

Validation of a general practice audit and data extraction tool.

PubMed

Peiris, David; Agaliotis, Maria; Patel, Bindu; Patel, Anushka

2013-11-01

We assessed how accurately a common general practitioner (GP) audit tool extracts data from two software systems. First, pathology test codes were audited at 33 practices covering nine companies. Second, a manual audit of chronic disease data from 200 random patient records at two practices was compared with audit tool data. Pathology review: all companies assigned correct codes for cholesterol, creatinine and glycated haemoglobin; four companies assigned incorrect codes for albuminuria tests, precluding accurate detection with the audit tool. Case record review: there was strong agreement between the manual audit and the tool for all variables except chronic kidney disease diagnoses, which was due to a tool-related programming error. The audit tool accurately detected most chronic disease data in two GP record systems. The one exception, however, highlights the importance of surveillance systems to promptly identify errors. This will maximise potential for audit tools to improve healthcare quality.

A Mathematical Model of the Color Preference Scale Construction in Quality Management at the Machine-Building Enterprise

NASA Astrophysics Data System (ADS)

Averchenkov, V. I.; Kondratenko, S. V.; Potapov, L. A.; Spasennikov, V. V.

2017-01-01

In this article, the author consider the basic features of color preferences. The famous scientists’ works confirm their identity and independence of subjective factors. The article examines the method of constructing the respondent’s color preference individual scale on the basis of L Thurstone’s pair election method. The practical example of applying this technique for constructing the respondent’s color preference individual scale is given. The result of this method application is the color preference individual scale with the weight value of each color. The authors also developed and presented the algorithm of applying this method within the program complex to determine the respondents’ attitude to the issues under investigation based on their color preferences. Also, the article considers the possibility of using the software at the industrial enterprises to improve the quality of the consumer quality products.

Quality tracing in meat supply chains

PubMed Central

Mack, Miriam; Dittmer, Patrick; Veigt, Marius; Kus, Mehmet; Nehmiz, Ulfert; Kreyenschmidt, Judith

2014-01-01

The aim of this study was the development of a quality tracing model for vacuum-packed lamb that is applicable in different meat supply chains. Based on the development of relevant sensory parameters, the predictive model was developed by combining a linear primary model and the Arrhenius model as the secondary model. Then a process analysis was conducted to define general requirements for the implementation of the temperature-based model into a meat supply chain. The required hardware and software for continuous temperature monitoring were developed in order to use the model under practical conditions. Further on a decision support tool was elaborated in order to use the model as an effective tool in combination with the temperature monitoring equipment for the improvement of quality and storage management within the meat logistics network. Over the long term, this overall procedure will support the reduction of food waste and will improve the resources efficiency of food production. PMID:24797136

Quality tracing in meat supply chains.

PubMed

Mack, Miriam; Dittmer, Patrick; Veigt, Marius; Kus, Mehmet; Nehmiz, Ulfert; Kreyenschmidt, Judith

2014-06-13

The aim of this study was the development of a quality tracing model for vacuum-packed lamb that is applicable in different meat supply chains. Based on the development of relevant sensory parameters, the predictive model was developed by combining a linear primary model and the Arrhenius model as the secondary model. Then a process analysis was conducted to define general requirements for the implementation of the temperature-based model into a meat supply chain. The required hardware and software for continuous temperature monitoring were developed in order to use the model under practical conditions. Further on a decision support tool was elaborated in order to use the model as an effective tool in combination with the temperature monitoring equipment for the improvement of quality and storage management within the meat logistics network. Over the long term, this overall procedure will support the reduction of food waste and will improve the resources efficiency of food production.

Evaluating computer capabilities in a primary care practice-based research network.

PubMed

Ariza, Adolfo J; Binns, Helen J; Christoffel, Katherine Kaufer

2004-01-01

We wanted to assess computer capabilities in a primary care practice-based research network and to understand how receptive the practices were to new ideas for automation of practice activities and research. This study was conducted among members of the Pediatric Practice Research Group (PPRG). A survey to assess computer capabilities was developed to explore hardware types, software programs, Internet connectivity and data transmission; views on privacy and security; and receptivity to future electronic data collection approaches. Of the 40 PPRG practices participating in the study during the autumn of 2001, all used IBM-compatible systems. Of these, 45% used stand-alone desktops, 40% had networked desktops, and approximately 15% used laptops and minicomputers. A variety of software packages were used, with most practices (82%) having software for some aspect of patient care documentation, patient accounting (90%), business support (60%), and management reports and analysis (97%). The main obstacles to expanding use of computers in patient care were insufficient staff training (63%) and privacy concerns (82%). If provided with training and support, most practices indicated they were willing to consider an array of electronic data collection options for practice-based research activities. There is wide variability in hardware and software use in the pediatric practice setting. Implementing electronic data collection in the PPRG would require a substantial start-up effort and ongoing training and support at the practice site.

77 FR 50724 - Developing Software Life Cycle Processes for Digital Computer Software Used in Safety Systems of...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-22

... NUCLEAR REGULATORY COMMISSION [NRC-2012-0195] Developing Software Life Cycle Processes for Digital... Software Life Cycle Processes for Digital Computer Software used in Safety Systems of Nuclear Power Plants... clarifications, the enhanced consensus practices for developing software life-cycle processes for digital...

A Strategy for Improved System Assurance

DTIC Science & Technology

2007-06-20

Quality (Measurements Life Cycle Safety, Security & Others) ISO /IEC 12207 * Software Life Cycle Processes ISO 9001 Quality Management System...14598 Software Product Evaluation Related ISO /IEC 90003 Guidelines for the Application of ISO 9001:2000 to Computer Software IEEE 12207 Industry...Implementation of International Standard ISO /IEC 12207 IEEE 1220 Standard for Application and Management of the System Engineering Process Use in

Proceedings of Tenth Annual Software Engineering Workshop

NASA Technical Reports Server (NTRS)

1985-01-01

Papers are presented on the following topics: measurement of software technology, recent studies of the Software Engineering Lab, software management tools, expert systems, error seeding as a program validation technique, software quality assurance, software engineering environments (including knowledge-based environments), the Distributed Computing Design System, and various Ada experiments.

High-quality and small-capacity e-learning video featuring lecturer-superimposing PC screen images

NASA Astrophysics Data System (ADS)

Nomura, Yoshihiko; Murakami, Michinobu; Sakamoto, Ryota; Sugiura, Tokuhiro; Matsui, Hirokazu; Kato, Norihiko

2006-10-01

Information processing and communication technology are progressing quickly, and are prevailing throughout various technological fields. Therefore, the development of such technology should respond to the needs for improvement of quality in the e-learning education system. The authors propose a new video-image compression processing system that ingeniously employs the features of the lecturing scene. While dynamic lecturing scene is shot by a digital video camera, screen images are electronically stored by a PC screen image capturing software in relatively long period at a practical class. Then, a lecturer and a lecture stick are extracted from the digital video images by pattern recognition techniques, and the extracted images are superimposed on the appropriate PC screen images by off-line processing. Thus, we have succeeded to create a high-quality and small-capacity (HQ/SC) video-on-demand educational content featuring the advantages: the high quality of image sharpness, the small electronic file capacity, and the realistic lecturer motion.

Near-infrared hyperspectral imaging for quality analysis of agricultural and food products

NASA Astrophysics Data System (ADS)

Singh, C. B.; Jayas, D. S.; Paliwal, J.; White, N. D. G.

2010-04-01

Agricultural and food processing industries are always looking to implement real-time quality monitoring techniques as a part of good manufacturing practices (GMPs) to ensure high-quality and safety of their products. Near-infrared (NIR) hyperspectral imaging is gaining popularity as a powerful non-destructive tool for quality analysis of several agricultural and food products. This technique has the ability to analyse spectral data in a spatially resolved manner (i.e., each pixel in the image has its own spectrum) by applying both conventional image processing and chemometric tools used in spectral analyses. Hyperspectral imaging technique has demonstrated potential in detecting defects and contaminants in meats, fruits, cereals, and processed food products. This paper discusses the methodology of hyperspectral imaging in terms of hardware, software, calibration, data acquisition and compression, and development of prediction and classification algorithms and it presents a thorough review of the current applications of hyperspectral imaging in the analyses of agricultural and food products.

Strategies for Achieving Whole-Practice Engagement and Buy-in to the Patient-Centered Medical Home

PubMed Central

Bleser, William K.; Miller-Day, Michelle; Naughton, Dana; Bricker, Patricia L.; Cronholm, Peter F.; Gabbay, Robert A.

2014-01-01

PURPOSE The current model of primary care in the United States limits physicians’ ability to offer high-quality care. The patient-centered medical home (PCMH) shows promise in addressing provision of high-quality care, but achieving a PCMH practice model often requires comprehensive organizational change. Guided by Solberg’s conceptual framework for practice improvement, which argues for shared prioritization of improvement and change, we describe strategies for obtaining organizational buy-in to and whole-staff engagement of PCMH transformation and practice improvement. METHODS Semistructured interviews with 136 individuals and 7 focus groups involving 48 individuals were conducted in 20 small- to mid-sized medical practices in Pennsylvania during the first regional rollout of a statewide PCMH initiative. For this study, we analyzed interview transcripts, monthly narrative reports, and observer notes from site visits to identify discourse pertaining to organizational buy-in and strategies for securing buy-in from personnel. Using a consensual qualitative research approach, data were reduced, synthesized, and managed using qualitative data management and analysis software. RESULTS We identified 13 distinct strategies used to obtain practice buy-in, reflecting 3 overarching lessons that facilitate practice buy-in: (1) effective communication and internal PCMH campaigns, (2) effective resource utilization, and (3) creation of a team environment. CONCLUSION Our study provides a list of strategies useful for facilitating PCMH transformation in primary care. These strategies can be investigated empirically in future research, used to guide medical practices undergoing or considering PCMH transformation, and used to inform health care policy makers. Our study findings also extend Solberg’s conceptual framework for practice improvement to include buy-in as a necessary condition across all elements of the change process. PMID:24445102

Wavelet-Based Peak Detection and a New Charge Inference Procedure for MS/MS Implemented in ProteoWizard’s msConvert

PubMed Central

2015-01-01

We report the implementation of high-quality signal processing algorithms into ProteoWizard, an efficient, open-source software package designed for analyzing proteomics tandem mass spectrometry data. Specifically, a new wavelet-based peak-picker (CantWaiT) and a precursor charge determination algorithm (Turbocharger) have been implemented. These additions into ProteoWizard provide universal tools that are independent of vendor platform for tandem mass spectrometry analyses and have particular utility for intralaboratory studies requiring the advantages of different platforms convergent on a particular workflow or for interlaboratory investigations spanning multiple platforms. We compared results from these tools to those obtained using vendor and commercial software, finding that in all cases our algorithms resulted in a comparable number of identified peptides for simple and complex samples measured on Waters, Agilent, and AB SCIEX quadrupole time-of-flight and Thermo Q-Exactive mass spectrometers. The mass accuracy of matched precursor ions also compared favorably with vendor and commercial tools. Additionally, typical analysis runtimes (∼1–100 ms per MS/MS spectrum) were short enough to enable the practical use of these high-quality signal processing tools for large clinical and research data sets. PMID:25411686

Wavelet-based peak detection and a new charge inference procedure for MS/MS implemented in ProteoWizard's msConvert.

PubMed

French, William R; Zimmerman, Lisa J; Schilling, Birgit; Gibson, Bradford W; Miller, Christine A; Townsend, R Reid; Sherrod, Stacy D; Goodwin, Cody R; McLean, John A; Tabb, David L

2015-02-06

We report the implementation of high-quality signal processing algorithms into ProteoWizard, an efficient, open-source software package designed for analyzing proteomics tandem mass spectrometry data. Specifically, a new wavelet-based peak-picker (CantWaiT) and a precursor charge determination algorithm (Turbocharger) have been implemented. These additions into ProteoWizard provide universal tools that are independent of vendor platform for tandem mass spectrometry analyses and have particular utility for intralaboratory studies requiring the advantages of different platforms convergent on a particular workflow or for interlaboratory investigations spanning multiple platforms. We compared results from these tools to those obtained using vendor and commercial software, finding that in all cases our algorithms resulted in a comparable number of identified peptides for simple and complex samples measured on Waters, Agilent, and AB SCIEX quadrupole time-of-flight and Thermo Q-Exactive mass spectrometers. The mass accuracy of matched precursor ions also compared favorably with vendor and commercial tools. Additionally, typical analysis runtimes (∼1-100 ms per MS/MS spectrum) were short enough to enable the practical use of these high-quality signal processing tools for large clinical and research data sets.

Extracting patterns of database and software usage from the bioinformatics literature

PubMed Central

Duck, Geraint; Nenadic, Goran; Brass, Andy; Robertson, David L.; Stevens, Robert

2014-01-01

Motivation: As a natural consequence of being a computer-based discipline, bioinformatics has a strong focus on database and software development, but the volume and variety of resources are growing at unprecedented rates. An audit of database and software usage patterns could help provide an overview of developments in bioinformatics and community common practice, and comparing the links between resources through time could demonstrate both the persistence of existing software and the emergence of new tools. Results: We study the connections between bioinformatics resources and construct networks of database and software usage patterns, based on resource co-occurrence, that correspond to snapshots of common practice in the bioinformatics community. We apply our approach to pairings of phylogenetics software reported in the literature and argue that these could provide a stepping stone into the identification of scientific best practice. Availability and implementation: The extracted resource data, the scripts used for network generation and the resulting networks are available at http://bionerds.sourceforge.net/networks/ Contact: robert.stevens@manchester.ac.uk PMID:25161253

Student perceptions of drill-and-practice mathematics software in primary education

NASA Astrophysics Data System (ADS)

Kuiper, Els; de Pater-Sneep, Martie

2014-06-01

Drill-and-practice mathematics software offers teachers a relatively simple way to use technology in the classroom. One of the reasons to use the software may be that it motivates children, working on the computer being more "fun" than doing regular school work. However, students' own perceptions of such software are seldom studied. This article reports on a study on the opinions of Grade 5 and 6 students regarding two mathematics drill-and-practice software packages. In total, 329 students from ten Dutch primary schools took part in the study. The results show that a majority of the students preferred to work in their exercise book, for various reasons. Especially the rigid structure of the software is mentioned as a negative aspect by students. The elaborate arguments students used illustrate the importance of taking their opinions into account already at the primary level. Students' perceptions also show that the idea of ICT as naturally motivating for students may need modification.

48 CFR 208.7400 - Scope of subpart.

Code of Federal Regulations, 2010 CFR

2010-10-01

... OF DEFENSE ACQUISITION PLANNING REQUIRED SOURCES OF SUPPLIES AND SERVICES Enterprise Software... commercial software and software maintenance, including software and software maintenance that is acquired— (a) As part of a system or system upgrade, where practicable; (b) Under a service contract; (c) Under...

Proceedings of the Seventeenth Annual Software Engineering Workshop

NASA Technical Reports Server (NTRS)

1992-01-01

Proceedings of the Seventeenth Annual Software Engineering Workshop are presented. The software Engineering Laboratory (SEL) is an organization sponsored by NASA/Goddard Space Flight Center and created to investigate the effectiveness of software engineering technologies when applied to the development of applications software. Topics covered include: the Software Engineering Laboratory; process measurement; software reuse; software quality; lessons learned; and is Ada dying.

Understanding dental CAD/CAM for restorations--dental milling machines from a mechanical engineering viewpoint. Part B: labside milling machines.

PubMed

Lebon, Nicolas; Tapie, Laurent; Duret, Francois; Attal, Jean-Pierre

2016-01-01

Nowadays, dental numerical controlled (NC) milling machines are available for dental laboratories (labside solution) and dental production centers. This article provides a mechanical engineering approach to NC milling machines to help dental technicians understand the involvement of technology in digital dentistry practice. The technical and economic criteria are described for four labside and two production center dental NC milling machines available on the market. The technical criteria are focused on the capacities of the embedded technologies of milling machines to mill prosthetic materials and various restoration shapes. The economic criteria are focused on investment cost and interoperability with third-party software. The clinical relevance of the technology is discussed through the accuracy and integrity of the restoration. It can be asserted that dental production center milling machines offer a wider range of materials and types of restoration shapes than labside solutions, while labside solutions offer a wider range than chairside solutions. The accuracy and integrity of restorations may be improved as a function of the embedded technologies provided. However, the more complex the technical solutions available, the more skilled the user must be. Investment cost and interoperability with third-party software increase according to the quality of the embedded technologies implemented. Each private dental practice may decide which fabrication option to use depending on the scope of the practice.

A quality quantitative method of silicon direct bonding based on wavelet image analysis

NASA Astrophysics Data System (ADS)

Tan, Xiao; Tao, Zhi; Li, Haiwang; Xu, Tiantong; Yu, Mingxing

2018-04-01

The rapid development of MEMS (micro-electro-mechanical systems) has received significant attention from researchers in various fields and subjects. In particular, the MEMS fabrication process is elaborate and, as such, has been the focus of extensive research inquiries. However, in MEMS fabrication, component bonding is difficult to achieve and requires a complex approach. Thus, improvements in bonding quality are relatively important objectives. A higher quality bond can only be achieved with improved measurement and testing capabilities. In particular, the traditional testing methods mainly include infrared testing, tensile testing, and strength testing, despite the fact that using these methods to measure bond quality often results in low efficiency or destructive analysis. Therefore, this paper focuses on the development of a precise, nondestructive visual testing method based on wavelet image analysis that is shown to be highly effective in practice. The process of wavelet image analysis includes wavelet image denoising, wavelet image enhancement, and contrast enhancement, and as an end result, can display an image with low background noise. In addition, because the wavelet analysis software was developed with MATLAB, it can reveal the bonding boundaries and bonding rates to precisely indicate the bond quality at all locations on the wafer. This work also presents a set of orthogonal experiments that consist of three prebonding factors, the prebonding temperature, the positive pressure value and the prebonding time, which are used to analyze the prebonding quality. This method was used to quantify the quality of silicon-to-silicon wafer bonding, yielding standard treatment quantities that could be practical for large-scale use.

Image-Processing Techniques for the Creation of Presentation-Quality Astronomical Images

NASA Astrophysics Data System (ADS)

Rector, Travis A.; Levay, Zoltan G.; Frattare, Lisa M.; English, Jayanne; Pu'uohau-Pummill, Kirk

2007-02-01

The quality of modern astronomical data and the agility of current image-processing software enable the visualization of data in a way that exceeds the traditional definition of an astronomical image. Two developments in particular have led to a fundamental change in how astronomical images can be assembled. First, the availability of high-quality multiwavelength and narrowband data allow for images that do not correspond to the wavelength sensitivity of the human eye, thereby introducing ambiguity in the usage and interpretation of color. Second, many image-processing software packages now use a layering metaphor that allows for any number of astronomical data sets to be combined into a color image. With this technique, images with as many as eight data sets have been produced. Each data set is intensity-scaled and colorized independently, creating an immense parameter space that can be used to assemble the image. Since such images are intended for data visualization, scaling and color schemes must be chosen that best illustrate the science. A practical guide is presented on how to use the layering metaphor to generate publication-ready astronomical images from as many data sets as desired. A methodology is also given on how to use intensity scaling, color, and composition to create contrasts in an image that highlight the scientific detail. Examples of image creation are discussed.

Do accountable care organizations (ACOs) help or hinder primary care physicians' ability to deliver high-quality care?

PubMed

Berenson, Robert A; Burton, Rachel A; McGrath, Megan

2016-09-01

Many view advanced primary care models such as the patient-centered medical home as foundational for accountable care organizations (ACOs), but it remains unclear how these two delivery reforms are complementary and how they may produce conflict. The objective of this study was to identify how joining an ACO could help or hinder a primary care practice's efforts to deliver high-quality care. This qualitative study involved interviews with a purposive sample of 32 early adopters of advanced primary care and/or ACO models, drawn from across the U.S. and conducted in mid-2014. Interview notes were coded using qualitative data analysis software, permitting topic-specific queries which were then summarized. Respondents perceived many potential benefits of joining an ACO, including care coordination staff, data analytics, and improved communication with other providers. However, respondents were also concerned about added "bureaucratic" requirements, referral restrictions, and a potential inability to recoup investments in practice improvements. Interviewees generally thought joining an ACO could complement a practice's efforts to deliver high-quality care, yet noted some concerns that could undermine these synergies. Both the advantages and disadvantages of joining an ACO seemed exacerbated for small practices, since they are most likely to benefit from additional resources yet are most likely to chafe under added bureaucratic requirements. Our identification of the potential pros and cons of joining an ACO may help providers identify areas to examine when weighing whether to enter into such an arrangement, and may help ACOs identify potential areas for improvement. Copyright © 2016 Elsevier Inc. All rights reserved.

[Routine data from general practitioner's software systems - Export, analysis and preparation for research].

PubMed

Kersting, M; Gierschmann, A; Hauswaldt, J; H-Pradier, E

2010-06-01

An advanced and integrative information technology (IT)-landscape is needed for optimal support of future processes in health-care, including health services research. Most researches in the primary care sector are based on data collected for reimbursement. The aim of this study is to show the limits and options of secondary analysis based on data that was exported via the "Behandlungsdatentransfer" (treatment data transport) BDT-interface in the software systems of German general practitioners and afterwards prepared for further research in SPSS. From the middle of 2005 to the end of 2007 all 168 teaching practices of the Hannover Medical School (MHH) were invited to join the study. Finally routine data from 28 practices could be collected successfully. The data from 139 other practices which had been collected for the project "Health Care in Practice" ("Medizinische Versorgung in der Praxis" - MedViP) was also added to the pool. The process of data preparation included a complete cycle from data collection, merging the data in a relational database system, via statistics and analysis to publishing and generating a feedback report for the participating practices. During the whole study the limits and options of this method were systematically identified. Of the 168 practices, 68 (40.5%) were interested to participate. From 28 (16.7%) physicians the data could be exported from their software systems. In 15 (8.9%) cases no collection was possible due to technical and in 26 (15.5%) to administrative reasons. The method of data extraction varied, as the BDT-interface was differently implemented by the software companies. Together with the MedViP data, the database at the MHH now consists of 167 practices with 974 304 patients and 12 555 943 treatments. For 44.1% of the 11 497 899 prescription entries an anatomic therapeutic chemical (ATC) code could be applied, by matching the entries to the master data from the Scientific Institute of Local Health-Care Funds ("Wissenschaftliches Instituts der Ortskrankenkassen" - WIdO). Periodically consistent sets of SPSS files could successfully be created for further research and feedback reports for the participating practices were generated as portable document format (PDF) files. The BDT-interface seems quite out of date, but can still reveal interesting information, especially on data about medical treatments and findings. Much of the data is contained in fields based on free text, which makes analysis difficult. Coded information, like agents, as ATC, could partially be extracted from the data, which afterwards was easy to prepare for further research. Quality and content of the data depend mainly on the data enterer, the physicians and their practice staff. Future research could be improved by more classified and coded data, which would better be transported through an interface more advanced than BDT. Georg Thieme Verlag KG Stuttgart * New York.

Software and the Scientist: Coding and Citation Practices in Geodynamics

NASA Astrophysics Data System (ADS)

Hwang, Lorraine; Fish, Allison; Soito, Laura; Smith, MacKenzie; Kellogg, Louise H.

2017-11-01

In geodynamics as in other scientific areas, computation has become a core component of research, complementing field observation, laboratory analysis, experiment, and theory. Computational tools for data analysis, mapping, visualization, modeling, and simulation are essential for all aspects of the scientific workflow. Specialized scientific software is often developed by geodynamicists for their own use, and this effort represents a distinctive intellectual contribution. Drawing on a geodynamics community that focuses on developing and disseminating scientific software, we assess the current practices of software development and attribution, as well as attitudes about the need and best practices for software citation. We analyzed publications by participants in the Computational Infrastructure for Geodynamics and conducted mixed method surveys of the solid earth geophysics community. From this we learned that coding skills are typically learned informally. Participants considered good code as trusted, reusable, readable, and not overly complex and considered a good coder as one that participates in the community in an open and reasonable manor contributing to both long- and short-term community projects. Participants strongly supported citing software reflected by the high rate a software package was named in the literature and the high rate of citations in the references. However, lacking are clear instructions from developers on how to cite and education of users on what to cite. In addition, citations did not always lead to discoverability of the resource. A unique identifier to the software package itself, community education, and citation tools would contribute to better attribution practices.

HDTS 2017.0 Testing and verification document

DOE Office of Scientific and Technical Information (OSTI.GOV)

Whiteside, Tad S.

2017-08-01

This report is a continuation of the series of Hunter Dose Tracking System (HDTS) Quality Assurance documents including (Foley and Powell, 2010; Dixon, 2012). In this report we have created a suite of automated test cases and a system to analyze the results of those tests as well as documented the methodology to ensure the field system performs within specifications. The software test cases cover all of the functions and interactions of functions that are practical to test. With the developed framework, if software defects are discovered, it will be easy to create one or more test cases to reproducemore » the defect and ensure that code changes correct the defect. These tests con rm HDTS version 2017.0 performs according to its specifications and documentation and that its performance meets the needs of its users at the Savannah River Site.« less

Experimenting with musical intervals

NASA Astrophysics Data System (ADS)

Lo Presto, Michael C.

2003-07-01

When two tuning forks of different frequency are sounded simultaneously the result is a complex wave with a repetition frequency that is the fundamental of the harmonic series to which both frequencies belong. The ear perceives this 'musical interval' as a single musical pitch with a sound quality produced by the harmonic spectrum responsible for the waveform. This waveform can be captured and displayed with data collection hardware and software. The fundamental frequency can then be calculated and compared with what would be expected from the frequencies of the tuning forks. Also, graphing software can be used to determine equations for the waveforms and predict their shapes. This experiment could be used in an introductory physics or musical acoustics course as a practical lesson in superposition of waves, basic Fourier series and the relationship between some of the ear's subjective perceptions of sound and the physical properties of the waves that cause them.

Spectrum analysis on quality requirements consideration in software design documents.

PubMed

Kaiya, Haruhiko; Umemura, Masahiro; Ogata, Shinpei; Kaijiri, Kenji

2013-12-01

Software quality requirements defined in the requirements analysis stage should be implemented in the final products, such as source codes and system deployment. To guarantee this meta-requirement, quality requirements should be considered in the intermediate stages, such as the design stage or the architectural definition stage. We propose a novel method for checking whether quality requirements are considered in the design stage. In this method, a technique called "spectrum analysis for quality requirements" is applied not only to requirements specifications but also to design documents. The technique enables us to derive the spectrum of a document, and quality requirements considerations in the document are numerically represented in the spectrum. We can thus objectively identify whether the considerations of quality requirements in a requirements document are adapted to its design document. To validate the method, we applied it to commercial software systems with the help of a supporting tool, and we confirmed that the method worked well.

Summary of paper: Area navigation implementation for a microcomputer-based Loran-C receiver

NASA Technical Reports Server (NTRS)

Oguri, Fujiko

1987-01-01

The development of an area navigation program and the implementation of this software on a microcomputer-based Loran-C receiver to provide high-quality, practical area navigation information for general aviation are described. This software provides range and bearing angle to a selected waypoint, cross-track error, course deviation indication (CDI), ground speed, and estimated time of arrival at the waypoint. The range/bearing calculation, using an elliptical Earth model, provides very good accuracy; the error does not exceed more than -.012 nm (range) or 0.09 degree (bearing) for a maximum range to 530 nm. The alpha-beta filtering is applied in order to reduce the random noise on Loran-C raw data and in the ground speed calculation. Due to alpha-beta filtering, the ground speed calculation has good stability for constant or low-accelerative flight. The execution time of this software is approximately 0.2 second. Flight testing was done with a prototype Loran-C front-end receiver, with the Loran-C area navigation software demonstrating the ability to provide navigation for the pilot to any point in the Loran-C coverage area in true area navigation fashion without line-of-sight and range restriction typical of VOR area navigation.

[Development and practice evaluation of blood acid-base imbalance analysis software].

PubMed

Chen, Bo; Huang, Haiying; Zhou, Qiang; Peng, Shan; Jia, Hongyu; Ji, Tianxing

2014-11-01

To develop a blood gas, acid-base imbalance analysis computer software to diagnose systematically, rapidly, accurately and automatically determine acid-base imbalance type, and evaluate the clinical application. Using VBA programming language, a computer aided diagnostic software for the judgment of acid-base balance was developed. The clinical data of 220 patients admitted to the Second Affiliated Hospital of Guangzhou Medical University were retrospectively analyzed. The arterial blood gas [pH value, HCO(3)(-), arterial partial pressure of carbon dioxide (PaCO₂)] and electrolytes included data (Na⁺ and Cl⁻) were collected. Data were entered into the software for acid-base imbalances judgment. At the same time the data generation was calculated manually by H-H compensation formula for determining the type of acid-base imbalance. The consistency of judgment results from software and manual calculation was evaluated, and the judgment time of two methods was compared. The clinical diagnosis of the types of acid-base imbalance for the 220 patients: 65 cases were normal, 90 cases with simple type, mixed type in 41 cases, and triplex type in 24 cases. The accuracy of the judgment results of the normal and triplex types from computer software compared with which were calculated manually was 100%, the accuracy of the simple type judgment was 98.9% and 78.0% for the mixed type, and the total accuracy was 95.5%. The Kappa value of judgment result from software and manual judgment was 0.935, P=0.000. It was demonstrated that the consistency was very good. The time for software to determine acid-base imbalances was significantly shorter than the manual judgment (seconds:18.14 ± 3.80 vs. 43.79 ± 23.86, t=7.466, P=0.000), so the method of software was much faster than the manual method. Software judgment can replace manual judgment with the characteristics of rapid, accurate and convenient, can improve work efficiency and quality of clinical doctors and has great clinical application promotion value.

Application of newly developed Fluoro-QC software for image quality evaluation in cardiac X-ray systems.

PubMed

Oliveira, M; Lopez, G; Geambastiani, P; Ubeda, C

2018-05-01

A quality assurance (QA) program is a valuable tool for the continuous production of optimal quality images. The aim of this paper is to assess a newly developed automatic computer software for image quality (IR) evaluation in fluoroscopy X-ray systems. Test object images were acquired using one fluoroscopy system, Siemens Axiom Artis model (Siemens AG, Medical Solutions Erlangen, Germany). The software was developed as an ImageJ plugin. Two image quality parameters were assessed: high-contrast spatial resolution (HCSR) and signal-to-noise ratio (SNR). The time between manual and automatic image quality assessment procedures were compared. The paired t-test was used to assess the data. p Values of less than 0.05 were considered significant. The Fluoro-QC software generated faster IQ evaluation results (mean = 0.31 ± 0.08 min) than manual procedure (mean = 4.68 ± 0.09 min). The mean difference between techniques was 4.36 min. Discrepancies were identified in the region of interest (ROI) areas drawn manually with evidence of user dependence. The new software presented the results of two tests (HCSR = 3.06, SNR = 5.17) and also collected information from the DICOM header. Significant differences were not identified between manual and automatic measures of SNR (p value = 0.22) and HCRS (p value = 0.46). The Fluoro-QC software is a feasible, fast and free to use method for evaluating imaging quality parameters on fluoroscopy systems. Copyright © 2017 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.

The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring.

PubMed

Holzner, Bernhard; Giesinger, Johannes M; Pinggera, Jakob; Zugal, Stefan; Schöpf, Felix; Oberguggenberger, Anne S; Gamper, Eva M; Zabernigg, August; Weber, Barbara; Rumpold, Gerhard

2012-11-09

Patient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires, storing data, and presenting results has facilitated PRO assessment in hospital settings. Compared to conventional paper-pencil versions of PRO instruments, ePRO is more economical with regard to staff resources and time, and allows immediate presentation of results to the medical staff.The objective of our project was to develop software (CHES - Computer-based Health Evaluation System) for ePRO in hospital settings and at home with a special focus on the presentation of individual patient's results. Following the Extreme Programming development approach architecture was not fixed up-front, but was done in close, continuous collaboration with software end users (medical staff, researchers and patients) to meet their specific demands. Developed features include sophisticated, longitudinal charts linking patients' PRO data to clinical characteristics and to PRO scores from reference populations, a web-interface for questionnaire administration, and a tool for convenient creating and editing of questionnaires. By 2012 CHES has been implemented at various institutions in Austria, Germany, Switzerland, and the UK and about 5000 patients participated in ePRO (with around 15000 assessments in total). Data entry is done by the patients themselves via tablet PCs with a study nurse or an intern approaching patients and supervising questionnaire completion. During the last decade several software packages for ePRO have emerged for different purposes. Whereas commercial products are available primarily for ePRO in clinical trials, academic projects have focused on data collection and presentation in daily clinical practice and on extending cancer registries with PRO data. CHES includes several features facilitating the use of PRO data for individualized medical decision making. With its web-interface it allows ePRO also when patients are home. Thus, it provides complete monitoring of patients'physical and psychosocial symptom burden.

The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring

PubMed Central

2012-01-01

Background Patient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires, storing data, and presenting results has facilitated PRO assessment in hospital settings. Compared to conventional paper-pencil versions of PRO instruments, ePRO is more economical with regard to staff resources and time, and allows immediate presentation of results to the medical staff. The objective of our project was to develop software (CHES – Computer-based Health Evaluation System) for ePRO in hospital settings and at home with a special focus on the presentation of individual patient’s results. Methods Following the Extreme Programming development approach architecture was not fixed up-front, but was done in close, continuous collaboration with software end users (medical staff, researchers and patients) to meet their specific demands. Developed features include sophisticated, longitudinal charts linking patients’ PRO data to clinical characteristics and to PRO scores from reference populations, a web-interface for questionnaire administration, and a tool for convenient creating and editing of questionnaires. Results By 2012 CHES has been implemented at various institutions in Austria, Germany, Switzerland, and the UK and about 5000 patients participated in ePRO (with around 15000 assessments in total). Data entry is done by the patients themselves via tablet PCs with a study nurse or an intern approaching patients and supervising questionnaire completion. Discussion During the last decade several software packages for ePRO have emerged for different purposes. Whereas commercial products are available primarily for ePRO in clinical trials, academic projects have focused on data collection and presentation in daily clinical practice and on extending cancer registries with PRO data. CHES includes several features facilitating the use of PRO data for individualized medical decision making. With its web-interface it allows ePRO also when patients are home. Thus, it provides complete monitoring of patients‘physical and psychosocial symptom burden. PMID:23140270

Survey Email Scheduling and Monitoring in eRCTs (SESAMe): A Digital Tool to Improve Data Collection in Randomized Controlled Clinical Trials.

PubMed

Skonnord, Trygve; Steen, Finn; Skjeie, Holgeir; Fetveit, Arne; Brekke, Mette; Klovning, Atle

2016-11-22

Electronic questionnaires can ease data collection in randomized controlled trials (RCTs) in clinical practice. We found no existing software that could automate the sending of emails to participants enrolled into an RCT at different study participant inclusion time points. Our aim was to develop suitable software to facilitate data collection in an ongoing multicenter RCT of low back pain (the Acuback study). For the Acuback study, we determined that we would need to send a total of 5130 emails to 270 patients recruited at different centers and at 19 different time points. The first version of the software was tested in a pilot study in November 2013 but was unable to deliver multiuser or Web-based access. We resolved these shortcomings in the next version, which we tested on the Web in February 2014. Our new version was able to schedule and send the required emails in the full-scale Acuback trial that started in March 2014. The system architecture evolved through an iterative, inductive process between the project study leader and the software programmer. The program was tested and updated when errors occurred. To evaluate the development of the software, we used a logbook, a research assistant dialogue, and Acuback trial participant queries. We have developed a Web-based app, Survey Email Scheduling and Monitoring in eRCTs (SESAMe), that monitors responses in electronic surveys and sends reminders by emails or text messages (short message service, SMS) to participants. The overall response rate for the 19 surveys in the Acuback study increased from 76.4% (655/857) before we introduced reminders to 93.11% (1149/1234) after the new function (P<.001). Further development will aim at securing encryption and data storage. The SESAMe software facilitates consecutive patient data collection in RCTs and can be used to increase response rates and quality of research, both in general practice and in other clinical trial settings. ©Trygve Skonnord, Finn Steen, Holgeir Skjeie, Arne Fetveit, Mette Brekke, Atle Klovning. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.11.2016.

Improving Video Game Development: Facilitating Heterogeneous Team Collaboration through Flexible Software Processes

NASA Astrophysics Data System (ADS)

Musil, Juergen; Schweda, Angelika; Winkler, Dietmar; Biffl, Stefan

Based on our observations of Austrian video game software development (VGSD) practices we identified a lack of systematic processes/method support and inefficient collaboration between various involved disciplines, i.e. engineers and artists. VGSD includes heterogeneous disciplines, e.g. creative arts, game/content design, and software. Nevertheless, improving team collaboration and process support is an ongoing challenge to enable a comprehensive view on game development projects. Lessons learned from software engineering practices can help game developers to increase game development processes within a heterogeneous environment. Based on a state of the practice survey in the Austrian games industry, this paper presents (a) first results with focus on process/method support and (b) suggests a candidate flexible process approach based on Scrum to improve VGSD and team collaboration. Results showed (a) a trend to highly flexible software processes involving various disciplines and (b) identified the suggested flexible process approach as feasible and useful for project application.

Technical Note: Unified imaging and robotic couch quality assurance.

PubMed

Cook, Molly C; Roper, Justin; Elder, Eric S; Schreibmann, Eduard

2016-09-01

To introduce a simplified quality assurance (QA) procedure that integrates tests for the linac's imaging components and the robotic couch. Current QA procedures for evaluating the alignment of the imaging system and linac require careful positioning of a phantom at isocenter before image acquisition and analysis. A complementary procedure for the robotic couch requires an initial displacement of the phantom and then evaluates the accuracy of repositioning the phantom at isocenter. We propose a two-in-one procedure that introduces a custom software module and incorporates both checks into one motion for increased efficiency. The phantom was manually set with random translational and rotational shifts, imaged with the in-room imaging system, and then registered to the isocenter using a custom software module. The software measured positioning accuracy by comparing the location of the repositioned phantom with a CAD model of the phantom at isocenter, which is physically verified using the MV port graticule. Repeatability of the custom software was tested by an assessment of internal marker location extraction on a series of scans taken over differing kV and CBCT acquisition parameters. The proposed method was able to correctly position the phantom at isocenter within acceptable 1 mm and 1° SRS tolerances, verified by both physical inspection and the custom software. Residual errors for mechanical accuracy were 0.26 mm vertically, 0.21 mm longitudinally, 0.55 mm laterally, 0.21° in pitch, 0.1° in roll, and 0.67° in yaw. The software module was shown to be robust across various scan acquisition parameters, detecting markers within 0.15 mm translationally in kV acquisitions and within 0.5 mm translationally and 0.3° rotationally across CBCT acquisitions with significant variations in voxel size. Agreement with vendor registration methods was well within 0.5 mm; differences were not statistically significant. As compared to the current two-step approach, the proposed QA procedure streamlines the workflow, accounts for rotational errors in imaging alignment, and simulates a broad range of variations in setup errors seen in clinical practice.

SQA of finite element method (FEM) codes used for analyses of pit storage/transport packages

DOE Office of Scientific and Technical Information (OSTI.GOV)

Russel, E.

1997-11-01

This report contains viewgraphs on the software quality assurance of finite element method codes used for analyses of pit storage and transport projects. This methodology utilizes the ISO 9000-3: Guideline for application of 9001 to the development, supply, and maintenance of software, for establishing well-defined software engineering processes to consistently maintain high quality management approaches.

Collaborative Software Development in Support of Fast Adaptive AeroSpace Tools (FAAST)

NASA Technical Reports Server (NTRS)

Kleb, William L.; Nielsen, Eric J.; Gnoffo, Peter A.; Park, Michael A.; Wood, William A.

2003-01-01

A collaborative software development approach is described. The software product is an adaptation of proven computational capabilities combined with new capabilities to form the Agency's next generation aerothermodynamic and aerodynamic analysis and design tools. To efficiently produce a cohesive, robust, and extensible software suite, the approach uses agile software development techniques; specifically, project retrospectives, the Scrum status meeting format, and a subset of Extreme Programming's coding practices are employed. Examples are provided which demonstrate the substantial benefits derived from employing these practices. Also included is a discussion of issues encountered when porting legacy Fortran 77 code to Fortran 95 and a Fortran 95 coding standard.

A Practical Approach to Modified Condition/Decision Coverage

NASA Technical Reports Server (NTRS)

Hayhurst, Kelly J.; Veerhusem, Dan S.

2001-01-01

Testing of software intended for safety-critical applications in commercial transport aircraft must achieve modified condition/decision coverage (MC/DC) of the software structure. This requirement causes anxiety for many within the aviation software community. Results of a survey of the aviation software industry indicate that many developers believe that meeting the MC/DC requirement is difficult, and the cost is exorbitant. Some of the difficulties stem, no doubt, from the scant information available on the subject. This paper provides a practical 5-step approach for assessing MC/DC for aviation software products, and an analysis of some types of errors expected to be caught when MC/DC is achieved1.

Process Correlation Analysis Model for Process Improvement Identification

PubMed Central

Park, Sooyong

2014-01-01

Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data. PMID:24977170

Sharing Research Models: Using Software Engineering Practices for Facilitation

PubMed Central

Bryant, Stephanie P.; Solano, Eric; Cantor, Susanna; Cooley, Philip C.; Wagener, Diane K.

2011-01-01

Increasingly, researchers are turning to computational models to understand the interplay of important variables on systems’ behaviors. Although researchers may develop models that meet the needs of their investigation, application limitations—such as nonintuitive user interface features and data input specifications—may limit the sharing of these tools with other research groups. By removing these barriers, other research groups that perform related work can leverage these work products to expedite their own investigations. The use of software engineering practices can enable managed application production and shared research artifacts among multiple research groups by promoting consistent models, reducing redundant effort, encouraging rigorous peer review, and facilitating research collaborations that are supported by a common toolset. This report discusses three established software engineering practices— the iterative software development process, object-oriented methodology, and Unified Modeling Language—and the applicability of these practices to computational model development. Our efforts to modify the MIDAS TranStat application to make it more user-friendly are presented as an example of how computational models that are based on research and developed using software engineering practices can benefit a broader audience of researchers. PMID:21687780

Process correlation analysis model for process improvement identification.

PubMed

Choi, Su-jin; Kim, Dae-Kyoo; Park, Sooyong

2014-01-01

Software process improvement aims at improving the development process of software systems. It is initiated by process assessment identifying strengths and weaknesses and based on the findings, improvement plans are developed. In general, a process reference model (e.g., CMMI) is used throughout the process of software process improvement as the base. CMMI defines a set of process areas involved in software development and what to be carried out in process areas in terms of goals and practices. Process areas and their elements (goals and practices) are often correlated due to the iterative nature of software development process. However, in the current practice, correlations of process elements are often overlooked in the development of an improvement plan, which diminishes the efficiency of the plan. This is mainly attributed to significant efforts and the lack of required expertise. In this paper, we present a process correlation analysis model that helps identify correlations of process elements from the results of process assessment. This model is defined based on CMMI and empirical data of improvement practices. We evaluate the model using industrial data.

QRev—Software for computation and quality assurance of acoustic doppler current profiler moving-boat streamflow measurements—Technical manual for version 2.8

USGS Publications Warehouse

Mueller, David S.

2016-06-21

The software program, QRev applies common and consistent computational algorithms combined with automated filtering and quality assessment of the data to improve the quality and efficiency of streamflow measurements and helps ensure that U.S. Geological Survey streamflow measurements are consistent, accurate, and independent of the manufacturer of the instrument used to make the measurement. Software from different manufacturers uses different algorithms for various aspects of the data processing and discharge computation. The algorithms used by QRev to filter data, interpolate data, and compute discharge are documented and compared to the algorithms used in the manufacturers’ software. QRev applies consistent algorithms and creates a data structure that is independent of the data source. QRev saves an extensible markup language (XML) file that can be imported into databases or electronic field notes software. This report is the technical manual for version 2.8 of QRev.

[Quality assurance of the renal applications software].

PubMed

del Real Núñez, R; Contreras Puertas, P I; Moreno Ortega, E; Mena Bares, L M; Maza Muret, F R; Latre Romero, J M

2007-01-01

The need for quality assurance of all technical aspects of nuclear medicine studies is widely recognised. However, little attention has been paid to the quality assurance of the applications software. Our work reported here aims at verifying the analysis software for processing of renal nuclear medicine studies (renograms). The software tools were used to build a synthetic dynamic model of renal system. The model consists of two phases: perfusion and function. The organs of interest (kidneys, bladder and aortic artery) were simple geometric forms. The uptake of the renal structures was described by mathematic functions. Curves corresponding to normal or pathological conditions were simulated for kidneys, bladder and aortic artery by appropriate selection of parameters. There was no difference between the parameters of the mathematic curves and the quantitative data produced by the renal analysis program. Our test procedure is simple to apply, reliable, reproducible and rapid to verify the renal applications software.

Software Development in the Water Sciences: a view from the divide (Invited)

NASA Astrophysics Data System (ADS)

Miles, B.; Band, L. E.

2013-12-01

While training in statistical methods is an important part of many earth scientists' training, these scientists often learn the bulk of their software development skills in an ad hoc, just-in-time manner. Yet to carry out contemporary research scientists are spending more and more time developing software. Here I present perspectives - as an earth sciences graduate student with professional software engineering experience - on the challenges scientists face adopting software engineering practices, with an emphasis on areas of the science software development lifecycle that could benefit most from improved engineering. This work builds on experience gained as part of the NSF-funded Water Science Software Institute (WSSI) conceptualization award (NSF Award # 1216817). Throughout 2013, the WSSI team held a series of software scoping and development sprints with the goals of: (1) adding features to better model green infrastructure within the Regional Hydro-Ecological Simulation System (RHESSys); and (2) infusing test-driven agile software development practices into the processes employed by the RHESSys team. The goal of efforts such as the WSSI is to ensure that investments by current and future scientists in software engineering training will enable transformative science by improving both scientific reproducibility and researcher productivity. Experience with the WSSI indicates: (1) the potential for achieving this goal; and (2) while scientists are willing to adopt some software engineering practices, transformative science will require continued collaboration between domain scientists and cyberinfrastructure experts for the foreseeable future.

Early experiences building a software quality prediction model

NASA Technical Reports Server (NTRS)

Agresti, W. W.; Evanco, W. M.; Smith, M. C.

1990-01-01

Early experiences building a software quality prediction model are discussed. The overall research objective is to establish a capability to project a software system's quality from an analysis of its design. The technical approach is to build multivariate models for estimating reliability and maintainability. Data from 21 Ada subsystems were analyzed to test hypotheses about various design structures leading to failure-prone or unmaintainable systems. Current design variables highlight the interconnectivity and visibility of compilation units. Other model variables provide for the effects of reusability and software changes. Reported results are preliminary because additional project data is being obtained and new hypotheses are being developed and tested. Current multivariate regression models are encouraging, explaining 60 to 80 percent of the variation in error density of the subsystems.

Fault Tree Analysis Application for Safety and Reliability

NASA Technical Reports Server (NTRS)

Wallace, Dolores R.

2003-01-01

Many commercial software tools exist for fault tree analysis (FTA), an accepted method for mitigating risk in systems. The method embedded in the tools identifies a root as use in system components, but when software is identified as a root cause, it does not build trees into the software component. No commercial software tools have been built specifically for development and analysis of software fault trees. Research indicates that the methods of FTA could be applied to software, but the method is not practical without automated tool support. With appropriate automated tool support, software fault tree analysis (SFTA) may be a practical technique for identifying the underlying cause of software faults that may lead to critical system failures. We strive to demonstrate that existing commercial tools for FTA can be adapted for use with SFTA, and that applied to a safety-critical system, SFTA can be used to identify serious potential problems long before integrator and system testing.

Using Graphing Software to Teach about Algebraic Forms: A Study of Technology-Supported Practice in Secondary-School Mathematics

ERIC Educational Resources Information Center

Ruthven, Kenneth; Deaney, Rosemary; Hennessy, Sara

2009-01-01

From preliminary analysis of teacher-nominated examples of successful technology-supported practice in secondary-school mathematics, the use of graphing software to teach about algebraic forms was identified as being an important archetype. Employing evidence from lesson observation and teacher interview, such practice was investigated in greater…

Software Quality Control at Belle II

NASA Astrophysics Data System (ADS)

Ritter, M.; Kuhr, T.; Hauth, T.; Gebard, T.; Kristof, M.; Pulvermacher, C.; Belle Software Group, II

2017-10-01

Over the last seven years the software stack of the next generation B factory experiment Belle II has grown to over one million lines of C++ and Python code, counting only the part included in offline software releases. There are several thousand commits to the central repository by about 100 individual developers per year. To keep a coherent software stack of high quality that it can be sustained and used efficiently for data acquisition, simulation, reconstruction, and analysis over the lifetime of the Belle II experiment is a challenge. A set of tools is employed to monitor the quality of the software and provide fast feedback to the developers. They are integrated in a machinery that is controlled by a buildbot master and automates the quality checks. The tools include different compilers, cppcheck, the clang static analyzer, valgrind memcheck, doxygen, a geometry overlap checker, a check for missing or extra library links, unit tests, steering file level tests, a sophisticated high-level validation suite, and an issue tracker. The technological development infrastructure is complemented by organizational means to coordinate the development.

Evaluating Predictive Models of Software Quality

NASA Astrophysics Data System (ADS)

Ciaschini, V.; Canaparo, M.; Ronchieri, E.; Salomoni, D.

2014-06-01

Applications from High Energy Physics scientific community are constantly growing and implemented by a large number of developers. This implies a strong churn on the code and an associated risk of faults, which is unavoidable as long as the software undergoes active evolution. However, the necessities of production systems run counter to this. Stability and predictability are of paramount importance; in addition, a short turn-around time for the defect discovery-correction-deployment cycle is required. A way to reconcile these opposite foci is to use a software quality model to obtain an approximation of the risk before releasing a program to only deliver software with a risk lower than an agreed threshold. In this article we evaluated two quality predictive models to identify the operational risk and the quality of some software products. We applied these models to the development history of several EMI packages with intent to discover the risk factor of each product and compare it with its real history. We attempted to determine if the models reasonably maps reality for the applications under evaluation, and finally we concluded suggesting directions for further studies.

Software for improving the quality of project management, a case study: international manufacture of electrical equipment

NASA Astrophysics Data System (ADS)

Preradović, D. M.; Mićić, Lj S.; Barz, C.

2017-05-01

Production conditions in today’s world require software support at every stage of production and development of new products, for quality assurance and compliance with ISO standards. In addition to ISO standards such as usual metrics of quality, companies today are focused on other optional standards, such as CMMI (Capability Maturity Model Integrated) or prescribing they own standards. However, while there is intensive progress being made in the PM (project management), there is still a significant number of projects, at the global level, that are failures. These have failed to achieve their goals, within budget or timeframe. This paper focuses on checking the role of software tools through the rate of success in projects implemented in the case of internationally manufactured electrical equipment. The results of this research show the level of contribution of the project management software used to manage and develop new products to improve PM processes and PM functions, and how selection of the software tools affects the quality of PM processes and successfully completed projects.

Promoting Science Software Best Practices: A Scientist's Perspective (Invited)

NASA Astrophysics Data System (ADS)

Blanton, B. O.

2013-12-01

Software is at the core of most modern scientific activities, and as societal awareness of, and impacts from, extreme weather, disasters, and climate and global change continue to increase, the roles that scientific software play in analyses and decision-making are brought more to the forefront. Reproducibility of research results (particularly those that enter into the decision-making arena) and open access to the software is essential for scientific and scientists' credibility. This has been highlighted in a recent article by Joppa et al (Troubling Trends in Scientific Software Use, Science Magazine, May 2013) that describes reasons for particular software being chosen by scientists, including that the "developer is well-respected" and on "recommendation from a close colleague". This reliance on recommendation, Joppa et al conclude, is fraught with risks to both sciences and scientists. Scientists must frequently take software for granted, assuming that it performs as expected and advertised and that the software itself has been validated and results verified. This is largely due to the manner in which much software is written and developed; in an ad hoc manner, with an inconsistent funding stream, and with little application of core software engineering best practices. Insufficient documentation, limited test cases, and code unavailability are significant barriers to informed and intelligent science software usage. This situation is exacerbated when the scientist becomes the software developer out of necessity due to resource constraints. Adoption of, and adherence to, best practices in scientific software development will substantially increase intelligent software usage and promote a sustainable evolution of the science as encoded in the software. We describe a typical scientist's perspective on using and developing scientific software in the context of storm surge research and forecasting applications that have real-time objectives and regulatory constraints. This include perspectives on what scientists/users of software can contribute back to the software development process and examples of successful scientist/developer interactions, and the competition between "getting it done" and "getting it done right".

Digital Note-Taking: Discussion of Evidence and Best Practices.

PubMed

Grahame, Jason A

2016-03-01

Balancing active course engagement and comprehension with producing quality lecture notes is challenging. Although evidence suggests that handwritten note-taking may improve comprehension and learning outcomes, many students still self-report a preference for digital note-taking and a belief that it is beneficial. Future research is warranted to determine the effects on performance of digitally writing notes. Independent of the methods or software chosen, best practices should be provided to students with information to help them consciously make an educated decision based on the evidence and their personal preference. Optimal note-taking requires self-discipline, focused attention, sufficient working memory, thoughtful rewording, and decreased distractions. Familiarity with the tools and mediums they choose will help students maximize working memory, produce better notes, and aid in their retention of material presented.

CAD for small hydro projects

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bishop, N.A. Jr.

1994-04-01

Over the past decade, computer-aided design (CAD) has become a practical and economical design tool. Today, specifying CAD hardware and software is relatively easy once you know what the design requirements are. But finding experienced CAD professionals is often more difficult. Most CAD users have only two or three years of design experience; more experienced design personnel are frequently not CAD literate. However, effective use of CAD can be the key to lowering design costs and improving design quality--a quest familiar to every manager and designer. By emphasizing computer-aided design literacy at all levels of the firm, a Canadian joint-venturemore » company that specializes in engineering small hydroelectric projects has cut costs, become more productive and improved design quality. This article describes how they did it.« less

Real-time structured light intraoral 3D measurement pipeline

NASA Astrophysics Data System (ADS)

Gheorghe, Radu; Tchouprakov, Andrei; Sokolov, Roman

2013-02-01

Computer aided design and manufacturing (CAD/CAM) is increasingly becoming a standard feature and service provided to patients in dentist offices and denture manufacturing laboratories. Although the quality of the tools and data has slowly improved in the last years, due to various surface measurement challenges, practical, accurate, invivo, real-time 3D high quality data acquisition and processing still needs improving. Advances in GPU computational power have allowed for achieving near real-time 3D intraoral in-vivo scanning of patient's teeth. We explore in this paper, from a real-time perspective, a hardware-software-GPU solution that addresses all the requirements mentioned before. Moreover we exemplify and quantify the hard and soft deadlines required by such a system and illustrate how they are supported in our implementation.

Assessing and Managing Quality of Information Assurance

DTIC Science & Technology

2010-11-01

such as firewalls, antivirus scanning tools and mechanisms for user authentication and authorization. Advanced mission-critical systems often...imply increased risk to DoD information systems. The Process and Organizational Maturity (POM) class focuses on the maturity of the software and...include architectural quality. Common Weakness Enumeration (CWE) is a recent example that highlights the connection between software quality and

Software Engineering Guidebook

NASA Technical Reports Server (NTRS)

Connell, John; Wenneson, Greg

1993-01-01

The Software Engineering Guidebook describes SEPG (Software Engineering Process Group) supported processes and techniques for engineering quality software in NASA environments. Three process models are supported: structured, object-oriented, and evolutionary rapid-prototyping. The guidebook covers software life-cycles, engineering, assurance, and configuration management. The guidebook is written for managers and engineers who manage, develop, enhance, and/or maintain software under the Computer Software Services Contract.

Software Quality Metrics: A Software Management Monitoring Method for Air Force Logistics Command in Its Software Quality Assurance Program for the Quantitative Assessment of the System Development Life Cycle under Configuration Management.

DTIC Science & Technology

1982-03-01

pilot systems. Magnitude of the mutant error is classified as: o Program does not compute. o Program computes but does not run test data. o Program...14 Test and Integration ... ............ .. 105 15 The Mapping of SQM to the SDLC ........ ... 108 16 ADS Development .... .............. . 224 17...and funds. While the test phase concludes the normal development cycle, one should realize that with software the development continues in the

[Hospital pharmacist has a rule for best practice use and French hospital activity tariffs. Example of a pharmaceutical quality control for drugs reimbursed in addition of DRGs].

PubMed

Hedoux, S; Dode, X; Pivot, C; Couray-Targe, S; Aulagner, G

2012-07-01

The best practice contract has given a new objective to the hospital pharmacists for the reimbursement in addition to Diagnosis Related Groups' (DRGs) tariffs. We built our pharmaceutical quality control for the administration traceability follow-up regarding the DRGs and the cost of care, for two reasons: the nominal drugs dispensation in link with the prescription made by pharmacist and the important expenditure of these drugs. Our organization depends on the development level of the informatized drugs circuit and minimizes the risk of financial shortfalls or wrong benefits, possible causes of economic penalties for our hospital. On the basis of this follow-up, we highlighted our activity and identified problems of management and drugs circuit organization. The quality of the administration traceability impacts directly on the quality of the medical records and the reimbursements of the expensive drugs. A better knowledge of prescription software is also required for a better quality and security of the medical data used in the medical informatic systems. The drugs management and the personal treatment in and between the care units need to be improved too. We have to continue and improve our organization with the future financial model for ATU drugs and the FIDES project. The health personnel awareness and the development of best informatic tools are also required. Copyright © 2012 Elsevier Masson SAS. All rights reserved.

Developing an automated database for monitoring ultrasound- and computed tomography-guided procedure complications and diagnostic yield.

PubMed

Itri, Jason N; Jones, Lisa P; Kim, Woojin; Boonn, William W; Kolansky, Ana S; Hilton, Susan; Zafar, Hanna M

2014-04-01

Monitoring complications and diagnostic yield for image-guided procedures is an important component of maintaining high quality patient care promoted by professional societies in radiology and accreditation organizations such as the American College of Radiology (ACR) and Joint Commission. These outcome metrics can be used as part of a comprehensive quality assurance/quality improvement program to reduce variation in clinical practice, provide opportunities to engage in practice quality improvement, and contribute to developing national benchmarks and standards. The purpose of this article is to describe the development and successful implementation of an automated web-based software application to monitor procedural outcomes for US- and CT-guided procedures in an academic radiology department. The open source tools PHP: Hypertext Preprocessor (PHP) and MySQL were used to extract relevant procedural information from the Radiology Information System (RIS), auto-populate the procedure log database, and develop a user interface that generates real-time reports of complication rates and diagnostic yield by site and by operator. Utilizing structured radiology report templates resulted in significantly improved accuracy of information auto-populated from radiology reports, as well as greater compliance with manual data entry. An automated web-based procedure log database is an effective tool to reliably track complication rates and diagnostic yield for US- and CT-guided procedures performed in a radiology department.

IEEE Std 730 Software Quality Assurance: Supporting CMMI-DEV v1.3, Product and Process Quality Assurance

DTIC Science & Technology

2011-05-27

frameworks 4 CMMI-DEV IEEE / ISO / IEC 15288 / 12207 Quality Assurance ©2011 Walz IEEE Life Cycle Processes & Artifacts • Systems Life Cycle Processes...TAG to ISO TC 176 Quality Management • Quality: ASQ, work experience • Software: three books, consulting, work experience • Systems: Telecom & DoD...and IEEE 730 SQA need to align. The P730 IEEE standards working group has expanded the scope of the SQA process standard to align with IS 12207

Ontology Based Quality Evaluation for Spatial Data

NASA Astrophysics Data System (ADS)

Yılmaz, C.; Cömert, Ç.

2015-08-01

Many institutions will be providing data to the National Spatial Data Infrastructure (NSDI). Current technical background of the NSDI is based on syntactic web services. It is expected that this will be replaced by semantic web services. The quality of the data provided is important in terms of the decision-making process and the accuracy of transactions. Therefore, the data quality needs to be tested. This topic has been neglected in Turkey. Data quality control for NSDI may be done by private or public "data accreditation" institutions. A methodology is required for data quality evaluation. There are studies for data quality including ISO standards, academic studies and software to evaluate spatial data quality. ISO 19157 standard defines the data quality elements. Proprietary software such as, 1Spatial's 1Validate and ESRI's Data Reviewer offers quality evaluation based on their own classification of rules. Commonly, rule based approaches are used for geospatial data quality check. In this study, we look for the technical components to devise and implement a rule based approach with ontologies using free and open source software in semantic web context. Semantic web uses ontologies to deliver well-defined web resources and make them accessible to end-users and processes. We have created an ontology conforming to the geospatial data and defined some sample rules to show how to test data with respect to data quality elements including; attribute, topo-semantic and geometrical consistency using free and open source software. To test data against rules, sample GeoSPARQL queries are created, associated with specifications.

Software Past, Present, and Future: Views from Government, Industry and Academia

NASA Technical Reports Server (NTRS)

Holcomb, Lee; Page, Jerry; Evangelist, Michael

2000-01-01

Views from the NASA CIO NASA Software Engineering Workshop on software development from the past, present, and future are presented. The topics include: 1) Software Past; 2) Software Present; 3) NASA's Largest Software Challenges; 4) 8330 Software Projects in Industry Standish Groups 1994 Report; 5) Software Future; 6) Capability Maturity Model (CMM): Software Engineering Institute (SEI) levels; 7) System Engineering Quality Also Part of the Problem; 8) University Environment Trends Will Increase the Problem in Software Engineering; and 9) NASA Software Engineering Goals.

Commercial Literacy Software.

ERIC Educational Resources Information Center

Balajthy, Ernest

1997-01-01

Presents the first year's results of a continuing project to monitor the availability of software of relevance for literacy education purposes. Concludes there is an enormous amount of software available for use by teachers of reading and literacy--whereas drill-and-practice software is the largest category of software available, large numbers of…

Exploring the Process of Adult Computer Software Training Using Andragogy, Situated Cognition, and a Minimalist Approach

ERIC Educational Resources Information Center

Hurt, Andrew C.

2007-01-01

With technology advances, computer software becomes increasingly difficult to learn. Adults often rely on software training to keep abreast of these changes. Instructor-led software training is frequently used to teach adults new software skills; however there is limited research regarding the best practices in adult computer software training.…

Digitized hand-wrist radiographs: comparison of subjective and software-derived image quality at various compression ratios.

PubMed

McCord, Layne K; Scarfe, William C; Naylor, Rachel H; Scheetz, James P; Silveira, Anibal; Gillespie, Kevin R

2007-05-01

The objectives of this study were to compare the effect of JPEG 2000 compression of hand-wrist radiographs on observer image quality qualitative assessment and to compare with a software-derived quantitative image quality index. Fifteen hand-wrist radiographs were digitized and saved as TIFF and JPEG 2000 images at 4 levels of compression (20:1, 40:1, 60:1, and 80:1). The images, including rereads, were viewed by 13 orthodontic residents who determined the image quality rating on a scale of 1 to 5. A quantitative analysis was also performed by using a readily available software based on the human visual system (Image Quality Measure Computer Program, version 6.2, Mitre, Bedford, Mass). ANOVA was used to determine the optimal compression level (P < or =.05). When we compared subjective indexes, JPEG compression greater than 60:1 significantly reduced image quality. When we used quantitative indexes, the JPEG 2000 images had lower quality at all compression ratios compared with the original TIFF images. There was excellent correlation (R2 >0.92) between qualitative and quantitative indexes. Image Quality Measure indexes are more sensitive than subjective image quality assessments in quantifying image degradation with compression. There is potential for this software-based quantitative method in determining the optimal compression ratio for any image without the use of subjective raters.

Quality assurance in radiology: peer review and peer feedback.

PubMed

Strickland, N H

2015-11-01

Peer review in radiology means an assessment of the accuracy of a report issued by another radiologist. Inevitably, this involves a judgement opinion from the reviewing radiologist. Peer feedback is the means by which any form of peer review is communicated back to the original author of the report. This article defines terms, discusses the current status, identifies problems, and provides some recommendations as to the way forward, concentrating upon the software requirements for efficient peer review and peer feedback of reported imaging studies. Radiologists undertake routine peer review in their everyday clinical practice, particularly when reporting and preparing for multidisciplinary team meetings. More formal peer review of reported imaging studies has been advocated as a quality assurance measure to promote good clinical practice. It is also a way of assessing the competency of reporting radiologists referred for investigation to bodies such as the General Medical Council (GMC). The literature shows, firstly, that there is a very wide reported range of discrepancy rates in many studies, which have used a variety of non-comparable methodologies; and secondly, that applying scoring systems in formal peer review is often meaningless, unhelpful, and can even be detrimental. There is currently a lack of electronic peer feedback system software on the market to inform radiologists of any review of their work that has occurred or to provide them with clinical outcome information on cases they have previously reported. Learning opportunities are therefore missed. Radiologists should actively engage with the medical informatics industry to design optimal peer review and feedback software with features to meet their needs. Such a system should be easy to use, be fully integrated with the radiological information and picture archiving systems used clinically, and contain a free-text comment box, without a numerical scoring system. It should form a temporary record that cannot be permanently archived. It must provide automated feedback to the original author. Peer feedback, as part of everyday reporting, should enhance daily learning for radiologists. Software requirements for everyday peer feedback differ from those needed for a formal peer review process, which might only be necessary in the setting of a formal GMC enquiry into a particular radiologist's reporting competence, for example. Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Proceedings of the Eighth Annual Software Engineering Workshop

NASA Technical Reports Server (NTRS)

1983-01-01

The four major topics of discussion included: the NASA Software Engineering Laboratory, software testing, human factors in software engineering and software quality assessment. As in the past years, there were 12 position papers presented (3 for each topic) followed by questions and very heavy participation by the general audience.

Understanding Acceptance of Software Metrics--A Developer Perspective

ERIC Educational Resources Information Center

Umarji, Medha

2009-01-01

Software metrics are measures of software products and processes. Metrics are widely used by software organizations to help manage projects, improve product quality and increase efficiency of the software development process. However, metrics programs tend to have a high failure rate in organizations, and developer pushback is one of the sources…

78 FR 25482 - Notice of Revised Determination on Reconsideration

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-01

...-PROGRESSIVE SOFTWARE COMPUTING, QUALITY TESTING SERVICES, INC., RAILROAD CONSTRUCTION CO. OF SOUTH JERSEY, INC..., LP, PSCI- Progressive Software Computing, Quality Testing Services, Inc., Railroad Construction Co..., ANDERSON CONSTRUCTION SERVICES, BAKER PETROLITE, BAKERCORP, BELL-FAST FIRE PROTECTION INC., BOLTTECH INC...

Automated Reuse of Scientific Subroutine Libraries through Deductive Synthesis

NASA Technical Reports Server (NTRS)

Lowry, Michael R.; Pressburger, Thomas; VanBaalen, Jeffrey; Roach, Steven

1997-01-01

Systematic software construction offers the potential of elevating software engineering from an art-form to an engineering discipline. The desired result is more predictable software development leading to better quality and more maintainable software. However, the overhead costs associated with the formalisms, mathematics, and methods of systematic software construction have largely precluded their adoption in real-world software development. In fact, many mainstream software development organizations, such as Microsoft, still maintain a predominantly oral culture for software development projects; which is far removed from a formalism-based culture for software development. An exception is the limited domain of safety-critical software, where the high-assuiance inherent in systematic software construction justifies the additional cost. We believe that systematic software construction will only be adopted by mainstream software development organization when the overhead costs have been greatly reduced. Two approaches to cost mitigation are reuse (amortizing costs over many applications) and automation. For the last four years, NASA Ames has funded the Amphion project, whose objective is to automate software reuse through techniques from systematic software construction. In particular, deductive program synthesis (i.e., program extraction from proofs) is used to derive a composition of software components (e.g., subroutines) that correctly implements a specification. The construction of reuse libraries of software components is the standard software engineering solution for improving software development productivity and quality.

The Elements of an Effective Software Development Plan - Software Development Process Guidebook

DTIC Science & Technology

2011-11-11

standards and practices required for all XMPL software development. This SDP implements the <corporate> Standard Software Process (SSP). as tailored...Developing and integrating reusable software products • Approach to managing COTS/Reuse software implementation • COTS/Reuse software selection...final selection and submit to change board for approval MAINTENANCE Monitor current products for obsolescence or end of support Track new

A Bolman and Deal Framework of Science Teachers' Beliefs on Teacher Preparation and Reform Practices for Diverse Learners

NASA Astrophysics Data System (ADS)

Whitmyer, Charnita P.

This dissertation uses Bolman and Deal's Four Framework approach to reframing an organization to examine science teachers' beliefs on teacher preparation and reform practices for diverse learners. Despite the national emphasis on "science for all students" in the National Science Education Standards (NRC, 2011), some traditionally underserved groups tend to underperform on standardized measures of science learning (Kober, 2001; Darling-Hammond, 2010; Bracey, 2009; Kozol, 2009, 2007; PCAST, 2012); and teachers struggle to meet the needs of these students (Hira, 2010). The literature is replete with calls for a better understanding of teacher quality as an entry point into increased student achievement in science. In the current study, the 2012 National Survey of Science and Mathematics Education (NSSME) was used to gain an understanding of science teacher quality in the United States, and SPSS 22.0 software was used to evaluate descriptive and inferential statistics, including bivariate correlation analysis, simple linear regression, and a multiple regression of the survey responses. The findings indicated that professional development was the most salient predictor of teachers' preparedness to teach diverse learners. Findings further showed that teachers who held favorable perceptions of preparedness to teach diverse learners were more likely to use reform-oriented practices. This study contributes to an emerging area of research on science teacher quality and its influence on instructional reform for diverse learners. The study concludes with a discussion of supports and obstacles that may enable or inhibit the development of these relationships.

An Investigation of Techniques for Detecting Data Anomalies in Earned Value Management Data

DTIC Science & Technology

2011-12-01

Management Studio Harte Hanks Trillium Software Trillium Software System IBM Info Sphere Foundation Tools Informatica Data Explorer Informatica ...Analyst Informatica Developer Informatica Administrator Pitney Bowes Business Insight Spectrum SAP BusinessObjects Data Quality Management DataFlux...menting quality monitoring efforts and tracking data quality improvements Informatica http://www.informatica.com/products_services/Pages/index.aspx

Computer modeling in the practice of acoustical consulting: An evolving variety of uses from marketing and diagnosis through design to eventually research

NASA Astrophysics Data System (ADS)

Madaras, Gary S.

2002-05-01

The use of computer modeling as a marketing, diagnosis, design, and research tool in the practice of acoustical consulting is discussed. From the time it is obtained, the software can be used as an effective marketing tool. It is not until the software basics are learned and some amount of testing and verification occurs that the software can be used as a tool for diagnosing the acoustics of existing rooms. A greater understanding of the output types and formats as well as experience in interpreting the results is required before the software can be used as an efficient design tool. Lastly, it is only after repetitive use as a design tool that the software can be used as a cost-effective means of conducting research in practice. The discussion is supplemented with specific examples of actual projects provided by various consultants within multiple firms. Focus is placed on the use of CATT-Acoustic software and predicting the room acoustics of large performing arts halls as well as other public assembly spaces.

Software Architecture Evolution

ERIC Educational Resources Information Center

Barnes, Jeffrey M.

2013-01-01

Many software systems eventually undergo changes to their basic architectural structure. Such changes may be prompted by new feature requests, new quality attribute requirements, changing technology, or other reasons. Whatever the causes, architecture evolution is commonplace in real-world software projects. Today's software architects, however,…

Looking Through a Social Lens: Conceptualising Social Aspects of Knowledge Management for Global Health Practitioners

PubMed Central

Limaye, Rupali J.; Sullivan, Tara M.; Dalessandro, Scott; Jenkins, Ann Hendrix

2017-01-01

Knowledge management plays a critical role in global health. Global health practitioners require knowledge in every aspect of their jobs, and in resource-scarce contexts, practitioners must be able to rely on a knowledge management system to access the latest research and practice to ensure the highest quality of care. However, we suggest that there is a gap in the way knowledge management is primarily utilized in global health, namely, the systematic incorporation of human and social factors. In this paper, we briefly outline the evolution of knowledge management and then propose a conceptualization of knowledge management that incorporates human and social factors for use within a global health context. Our conceptualization of social knowledge management recognizes the importance of social capital, social learning, social software and platforms, and social networks, all within the context of a larger social system and driven by social benefit. We then outline the limitations and discuss future directions of our conceptualization, and suggest how this new conceptualization is essential for any global health practitioner in the business of managing knowledge. Significance for public health Managing knowledge is essential for improving population health outcomes. Global health practitioners at all levels of the health system are bombarded with information related to best practices and guideline changes, among other relevant information to provide the best quality of care. Knowledge management, or the act of effectively using knowledge, has yet to capitalize on the power of social connections within the context of global health. While social elements have been incorporated into knowledge management activities, we suggest that systematically integrating key concepts that leverage social connections, such as social systems, social capital, social learning, and social software, will yield greater benefit with regard to health outcomes. As such, we outline a new conceptualization of knowledge management, focusing on the social aspects of the practice, and posit that such an approach can further the impact of global health interventions and is crucial for global health practitioners. PMID:28480173

Technology transfer in software engineering

NASA Technical Reports Server (NTRS)

Bishop, Peter C.

1989-01-01

The University of Houston-Clear Lake is the prime contractor for the AdaNET Research Project under the direction of NASA Johnson Space Center. AdaNET was established to promote the principles of software engineering to the software development industry. AdaNET will contain not only environments and tools, but also concepts, principles, models, standards, guidelines and practices. Initially, AdaNET will serve clients from the U.S. government and private industry who are working in software development. It will seek new clients from those who have not yet adopted the principles and practices of software engineering. Some of the goals of AdaNET are to become known as an objective, authoritative source of new software engineering information and parts, to provide easy access to information and parts, and to keep abreast of innovations in the field.

A Practical Software Architecture for Virtual Universities

ERIC Educational Resources Information Center

Xiang, Peifeng; Shi, Yuanchun; Qin, Weijun

2006-01-01

This article introduces a practical software architecture called CUBES, which focuses on system integration and evolvement for online virtual universities. The key of CUBES is a supporting platform that helps to integrate and evolve heterogeneous educational applications developed by different organizations. Both standardized educational…

UrQt: an efficient software for the Unsupervised Quality trimming of NGS data.

PubMed

Modolo, Laurent; Lerat, Emmanuelle

2015-04-29

Quality control is a necessary step of any Next Generation Sequencing analysis. Although customary, this step still requires manual interventions to empirically choose tuning parameters according to various quality statistics. Moreover, current quality control procedures that provide a "good quality" data set, are not optimal and discard many informative nucleotides. To address these drawbacks, we present a new quality control method, implemented in UrQt software, for Unsupervised Quality trimming of Next Generation Sequencing reads. Our trimming procedure relies on a well-defined probabilistic framework to detect the best segmentation between two segments of unreliable nucleotides, framing a segment of informative nucleotides. Our software only requires one user-friendly parameter to define the minimal quality threshold (phred score) to consider a nucleotide to be informative, which is independent of both the experiment and the quality of the data. This procedure is implemented in C++ in an efficient and parallelized software with a low memory footprint. We tested the performances of UrQt compared to the best-known trimming programs, on seven RNA and DNA sequencing experiments and demonstrated its optimality in the resulting tradeoff between the number of trimmed nucleotides and the quality objective. By finding the best segmentation to delimit a segment of good quality nucleotides, UrQt greatly increases the number of reads and of nucleotides that can be retained for a given quality objective. UrQt source files, binary executables for different operating systems and documentation are freely available (under the GPLv3) at the following address: https://lbbe.univ-lyon1.fr/-UrQt-.html .

Space shuttle main engine anomaly data and inductive knowledge based systems: Automated corporate expertise

NASA Technical Reports Server (NTRS)

Modesitt, Kenneth L.

1987-01-01

Progress is reported on the development of SCOTTY, an expert knowledge-based system to automate the analysis procedure following test firings of the Space Shuttle Main Engine (SSME). The integration of a large-scale relational data base system, a computer graphics interface for experts and end-user engineers, potential extension of the system to flight engines, application of the system for training of newly-hired engineers, technology transfer to other engines, and the essential qualities of good software engineering practices for building expert knowledge-based systems are among the topics discussed.

Transforming Clinical Documentation in EHRs for 2020: Recommendations from University of Minnesota's Big Data Conference Working Group.

PubMed

Weaver, Charlotte; O'Brien, Ann

2016-01-01

In 2014, a group of diverse informatics leaders from practice, academia, and the software industry formed to address how best to transform electronic documentation to provide knowledge at the point of care and to deliver value to front line nurses and nurse leaders. This presentation reports the recommendations from this Working Group geared towards a 2020 framework. The recommendations propose redesign to optimize nurses' documentation efficiency while contributing to knowledge generation and attaining a balance that ensures the capture of nursing's impact on safety, quality, yet minimizes "death by data entry."

The Implications of Using Integrated Software Support Environment for Design of Guidance and Control Systems Software

DTIC Science & Technology

1990-02-01

inspections are performed before each formal review of each software life cycle phase. * Required software audits are performed . " The software is acceptable... Audits : Software audits are performed bySQA consistent with thegeneral audit rules and an auditreportis prepared. Software Quality Inspection (SQI...DSD Software Development Method 3-34 DEFINITION OF ACRONYMS Acronym Full Name or Description MACH Methode d’Analyse et de Conception Flierarchisee

An experience of qualified preventive screening: shiraz smart screening software.

PubMed

Islami Parkoohi, Parisa; Zare, Hashem; Abdollahifard, Gholamreza

2015-01-01

Computerized preventive screening software is a cost effective intervention tool to address non-communicable chronic diseases. Shiraz Smart Screening Software (SSSS) was developed as an innovative tool for qualified screening. It allows simultaneous smart screening of several high-burden chronic diseases and supports reminder notification functionality. The extent in which SSSS affects screening quality is also described. Following software development, preventive screening and annual health examinations of 261 school staff (Medical School of Shiraz, Iran) was carried out in a software-assisted manner. To evaluate the quality of the software-assisted screening, we used quasi-experimental study design and determined coverage, irregular attendance and inappropriateness proportions in relation with the manual and software-assisted screening as well as the corresponding number of requested tests. In manual screening method, 27% of employees were covered (with 94% irregular attendance) while by software-assisted screening, the coverage proportion was 79% (attendance status will clear after the specified time). The frequency of inappropriate screening test requests, before the software implementation, was 41.37% for fasting plasma glucose, 41.37% for lipid profile, 0.84% for occult blood, 0.19% for flexible sigmoidoscopy/colonoscopy, 35.29% for Pap smear, 19.20% for mammography and 11.2% for prostate specific antigen. All of the above were corrected by the software application. In total, 366 manual screening and 334 software-assisted screening tests were requested. SSSS is an innovative tool to improve the quality of preventive screening plans in terms of increased screening coverage, reduction in inappropriateness and the total number of requested tests.

Statistics of software vulnerability detection in certification testing

NASA Astrophysics Data System (ADS)

Barabanov, A. V.; Markov, A. S.; Tsirlov, V. L.

2018-05-01

The paper discusses practical aspects of introduction of the methods to detect software vulnerability in the day-to-day activities of the accredited testing laboratory. It presents the approval results of the vulnerability detection methods as part of the study of the open source software and the software that is a test object of the certification tests under information security requirements, including software for communication networks. Results of the study showing the allocation of identified vulnerabilities by types of attacks, country of origin, programming languages used in the development, methods for detecting vulnerability, etc. are given. The experience of foreign information security certification systems related to the detection of certified software vulnerabilities is analyzed. The main conclusion based on the study is the need to implement practices for developing secure software in the development life cycle processes. The conclusions and recommendations for the testing laboratories on the implementation of the vulnerability analysis methods are laid down.

Effective Software Engineering Leadership for Development Programs

ERIC Educational Resources Information Center

Cagle West, Marsha

2010-01-01

Software is a critical component of systems ranging from simple consumer appliances to complex health, nuclear, and flight control systems. The development of quality, reliable, and effective software solutions requires the incorporation of effective software engineering processes and leadership. Processes, approaches, and methodologies for…

Quality assurance software inspections at NASA Ames: Metrics for feedback and modification

NASA Technical Reports Server (NTRS)

Wenneson, G.

1985-01-01

Software inspections are a set of formal technical review procedures held at selected key points during software development in order to find defects in software documents--is described in terms of history, participants, tools, procedures, statistics, and database analysis.

Oral Health Knowledge, Attitude, and Practices of Sharjah Mothers of Preschool Children, United Arab Emirates.

PubMed

Mahmoud, Noura; Kowash, Mawlood; Hussein, Iyad; Hassan, Amar; Al Halabi, Manal

2017-01-01

The improvement of children's oral health, a world global health target, is essential to general health and quality of life. Hence, the aim of this study was to assess the knowledge, attitude, and practices of mothers toward their children's oral health in Sharjah, United Arab Emirates (UAE). A cross-sectional interview-based study was conducted among 383 mothers of preschool children (average age 3.49 [+1.63 years]) attending Sharjah Dental Center, UAE. Statistical analysis was performed using SPSS software for Windows, version 20.0 (SPSS Inc., Chicago, IL, USA). Adequate knowledge was found among 58.2% of mothers, 99% exhibited excellent attitude, and only 20% followed good practices toward their children's oral health. Poor knowledge and practice of mothers were significantly associated with mothers' occupation and education. Employed mothers had a significantly higher score of knowledge. Mothers with secondary education and university qualifications had significantly higher scores of practice compared with mothers with primary education. Although mothers had better than average knowledge and excellent attitude toward their children's oral health issues; most of them carried out improper practices. Mothers' educational and employment backgrounds were significant influencing factors.

Oral Health Knowledge, Attitude, and Practices of Sharjah Mothers of Preschool Children, United Arab Emirates

PubMed Central

Mahmoud, Noura; Kowash, Mawlood; Hussein, Iyad; Hassan, Amar; Al Halabi, Manal

2017-01-01

Objective: The improvement of children's oral health, a world global health target, is essential to general health and quality of life. Hence, the aim of this study was to assess the knowledge, attitude, and practices of mothers toward their children's oral health in Sharjah, United Arab Emirates (UAE). Materials and Methods: A cross-sectional interview-based study was conducted among 383 mothers of preschool children (average age 3.49 [+1.63 years]) attending Sharjah Dental Center, UAE. Statistical analysis was performed using SPSS software for Windows, version 20.0 (SPSS Inc., Chicago, IL, USA). Results: Adequate knowledge was found among 58.2% of mothers, 99% exhibited excellent attitude, and only 20% followed good practices toward their children's oral health. Poor knowledge and practice of mothers were significantly associated with mothers' occupation and education. Employed mothers had a significantly higher score of knowledge. Mothers with secondary education and university qualifications had significantly higher scores of practice compared with mothers with primary education. Conclusions: Although mothers had better than average knowledge and excellent attitude toward their children's oral health issues; most of them carried out improper practices. Mothers’ educational and employment backgrounds were significant influencing factors. PMID:29387613

LEGOS: Object-based software components for mission-critical systems. Final report, June 1, 1995--December 31, 1997

DOE Office of Scientific and Technical Information (OSTI.GOV)

NONE

1998-08-01

An estimated 85% of the installed base of software is a custom application with a production quantity of one. In practice, almost 100% of military software systems are custom software. Paradoxically, the marginal costs of producing additional units are near zero. So why hasn`t the software market, a market with high design costs and low productions costs evolved like other similar custom widget industries, such as automobiles and hardware chips? The military software industry seems immune to market pressures that have motivated a multilevel supply chain structure in other widget industries: design cost recovery, improve quality through specialization, and enablemore » rapid assembly from purchased components. The primary goal of the ComponentWare Consortium (CWC) technology plan was to overcome barriers to building and deploying mission-critical information systems by using verified, reusable software components (Component Ware). The adoption of the ComponentWare infrastructure is predicated upon a critical mass of the leading platform vendors` inevitable adoption of adopting emerging, object-based, distributed computing frameworks--initially CORBA and COM/OLE. The long-range goal of this work is to build and deploy military systems from verified reusable architectures. The promise of component-based applications is to enable developers to snap together new applications by mixing and matching prefabricated software components. A key result of this effort is the concept of reusable software architectures. A second important contribution is the notion that a software architecture is something that can be captured in a formal language and reused across multiple applications. The formalization and reuse of software architectures provide major cost and schedule improvements. The Unified Modeling Language (UML) is fast becoming the industry standard for object-oriented analysis and design notation for object-based systems. However, the lack of a standard real-time distributed object operating system, lack of a standard Computer-Aided Software Environment (CASE) tool notation and lack of a standard CASE tool repository has limited the realization of component software. The approach to fulfilling this need is the software component factory innovation. The factory approach takes advantage of emerging standards such as UML, CORBA, Java and the Internet. The key technical innovation of the software component factory is the ability to assemble and test new system configurations as well as assemble new tools on demand from existing tools and architecture design repositories.« less

GenePRIMP: A software quality control tool

ScienceCinema

Amrita Pati

2017-12-09

Amrita Pati of the DOE Joint Genome Institute's Genome Biology group describes the software tool GenePRIMP and how it fits into the quality control pipeline for microbial genomics. Further details regarding GenePRIMP appear in a paper published online May 2, 2010 in Nature Methods.

State of the art metrics for aspect oriented programming

NASA Astrophysics Data System (ADS)

Ghareb, Mazen Ismaeel; Allen, Gary

2018-04-01

The quality evaluation of software, e.g., defect measurement, gains significance with higher use of software applications. Metric measurements are considered as the primary indicator of imperfection prediction and software maintenance in various empirical studies of software products. However, there is no agreement on which metrics are compelling quality indicators for novel development approaches such as Aspect Oriented Programming (AOP). AOP intends to enhance programming quality, by providing new and novel constructs for the development of systems, for example, point cuts, advice and inter-type relationships. Hence, it is not evident if quality pointers for AOP can be derived from direct expansions of traditional OO measurements. Then again, investigations of AOP do regularly depend on established coupling measurements. Notwithstanding the late reception of AOP in empirical studies, coupling measurements have been adopted as useful markers of flaw inclination in this context. In this paper we will investigate the state of the art metrics for measurement of Aspect Oriented systems development.

A proposed classification scheme for Ada-based software products

NASA Technical Reports Server (NTRS)

Cernosek, Gary J.

1986-01-01

As the requirements for producing software in the Ada language become a reality for projects such as the Space Station, a great amount of Ada-based program code will begin to emerge. Recognizing the potential for varying levels of quality to result in Ada programs, what is needed is a classification scheme that describes the quality of a software product whose source code exists in Ada form. A 5-level classification scheme is proposed that attempts to decompose this potentially broad spectrum of quality which Ada programs may possess. The number of classes and their corresponding names are not as important as the mere fact that there needs to be some set of criteria from which to evaluate programs existing in Ada. An exact criteria for each class is not presented, nor are any detailed suggestions of how to effectively implement this quality assessment. The idea of Ada-based software classification is introduced and a set of requirements from which to base further research and development is suggested.

Web Implementation of Quality Assurance (QA) for X-ray Units in Balkanic Medical Institutions.

PubMed

Urošević, Vlade; Ristić, Olga; Milošević, Danijela; Košutić, Duško

2015-08-01

Diagnostic radiology is the major contributor to the total dose of the population from all artificial sources. In order to reduce radiation exposure and optimize diagnostic x-ray image quality, it is necessary to increase the quality and efficiency of quality assurance (QA) and audit programs. This work presents a web application providing completely new QA solutions for x-ray modalities and facilities. The software gives complete online information (using European standards) with which the corresponding institutions and individuals can evaluate and control a facility's Radiation Safety and QA program. The software enables storage of all data in one place and sharing the same information (data), regardless of whether the measured data is used by an individual user or by an authorized institution. The software overcomes the distance and time separation of institutions and individuals who take part in QA. Upgrading the software will enable assessment of the medical exposure level to ionizing radiation.

Third-Party Software's Trust Quagmire.

PubMed

Voas, J; Hurlburt, G

2015-12-01

Current software development has trended toward the idea of integrating independent software sub-functions to create more complete software systems. Software sub-functions are often not homegrown - instead they are developed by unknown 3 rd party organizations and reside in software marketplaces owned or controlled by others. Such software sub-functions carry plausible concern in terms of quality, origins, functionality, security, interoperability, to name a few. This article surveys key technical difficulties in confidently building systems from acquired software sub-functions by calling out the principle software supply chain actors.

Software metrics: The key to quality software on the NCC project

NASA Technical Reports Server (NTRS)

Burns, Patricia J.

1993-01-01

Network Control Center (NCC) Project metrics are captured during the implementation and testing phases of the NCCDS software development lifecycle. The metrics data collection and reporting function has interfaces with all elements of the NCC project. Close collaboration with all project elements has resulted in the development of a defined and repeatable set of metrics processes. The resulting data are used to plan and monitor release activities on a weekly basis. The use of graphical outputs facilitates the interpretation of progress and status. The successful application of metrics throughout the NCC project has been instrumental in the delivery of quality software. The use of metrics on the NCC Project supports the needs of the technical and managerial staff. This paper describes the project, the functions supported by metrics, the data that are collected and reported, how the data are used, and the improvements in the quality of deliverable software since the metrics processes and products have been in use.

Software reliability models for fault-tolerant avionics computers and related topics

NASA Technical Reports Server (NTRS)

Miller, Douglas R.

1987-01-01

Software reliability research is briefly described. General research topics are reliability growth models, quality of software reliability prediction, the complete monotonicity property of reliability growth, conceptual modelling of software failure behavior, assurance of ultrahigh reliability, and analysis techniques for fault-tolerant systems.

Quantitative evaluation of software packages for single-molecule localization microscopy.

PubMed

Sage, Daniel; Kirshner, Hagai; Pengo, Thomas; Stuurman, Nico; Min, Junhong; Manley, Suliana; Unser, Michael

2015-08-01

The quality of super-resolution images obtained by single-molecule localization microscopy (SMLM) depends largely on the software used to detect and accurately localize point sources. In this work, we focus on the computational aspects of super-resolution microscopy and present a comprehensive evaluation of localization software packages. Our philosophy is to evaluate each package as a whole, thus maintaining the integrity of the software. We prepared synthetic data that represent three-dimensional structures modeled after biological components, taking excitation parameters, noise sources, point-spread functions and pixelation into account. We then asked developers to run their software on our data; most responded favorably, allowing us to present a broad picture of the methods available. We evaluated their results using quantitative and user-interpretable criteria: detection rate, accuracy, quality of image reconstruction, resolution, software usability and computational resources. These metrics reflect the various tradeoffs of SMLM software packages and help users to choose the software that fits their needs.

The software product assurance metrics study: JPL's software systems quality and productivity

NASA Technical Reports Server (NTRS)

Bush, Marilyn W.

1989-01-01

The findings are reported of the Jet Propulsion Laboratory (JPL)/Software Product Assurance (SPA) Metrics Study, conducted as part of a larger JPL effort to improve software quality and productivity. Until recently, no comprehensive data had been assembled on how JPL manages and develops software-intensive systems. The first objective was to collect data on software development from as many projects and for as many years as possible. Results from five projects are discussed. These results reflect 15 years of JPL software development, representing over 100 data points (systems and subsystems), over a third of a billion dollars, over four million lines of code and 28,000 person months. Analysis of this data provides a benchmark for gauging the effectiveness of past, present and future software development work. In addition, the study is meant to encourage projects to record existing metrics data and to gather future data. The SPA long term goal is to integrate the collection of historical data and ongoing project data with future project estimations.

Surface models of the male urogenital organs built from the Visible Korean using popular software

PubMed Central

Shin, Dong Sun; Park, Jin Seo; Shin, Byeong-Seok

2011-01-01

Unlike volume models, surface models, which are empty three-dimensional images, have a small file size, so they can be displayed, rotated, and modified in real time. Thus, surface models of male urogenital organs can be effectively applied to an interactive computer simulation and contribute to the clinical practice of urologists. To create high-quality surface models, the urogenital organs and other neighboring structures were outlined in 464 sectioned images of the Visible Korean male using Adobe Photoshop; the outlines were interpolated on Discreet Combustion; then an almost automatic volume reconstruction followed by surface reconstruction was performed on 3D-DOCTOR. The surface models were refined and assembled in their proper positions on Maya, and a surface model was coated with actual surface texture acquired from the volume model of the structure on specially programmed software. In total, 95 surface models were prepared, particularly complete models of the urinary and genital tracts. These surface models will be distributed to encourage other investigators to develop various kinds of medical training simulations. Increasingly automated surface reconstruction technology using commercial software will enable other researchers to produce their own surface models more effectively. PMID:21829759

Software for enhanced video capsule endoscopy: challenges for essential progress.

PubMed

Iakovidis, Dimitris K; Koulaouzidis, Anastasios

2015-03-01

Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of small bowel diseases. Furthermore, VCE has the potential to become the leading screening technique for the entire gastrointestinal tract. Computational methods that can be implemented in software can enhance the diagnostic yield of VCE both in terms of efficiency and diagnostic accuracy. Since the appearance of the first capsule endoscope in clinical practice in 2001, information technology (IT) research groups have proposed a variety of such methods, including algorithms for detecting haemorrhage and lesions, reducing the reviewing time, localizing the capsule or lesion, assessing intestinal motility, enhancing the video quality and managing the data. Even though research is prolific (as measured by publication activity), the progress made during the past 5 years can only be considered as marginal with respect to clinically significant outcomes. One thing is clear-parallel pathways of medical and IT scientists exist, each publishing in their own area, but where do these research pathways meet? Could the proposed IT plans have any clinical effect and do clinicians really understand the limitations of VCE software? In this Review, we present an in-depth critical analysis that aims to inspire and align the agendas of the two scientific groups.

Health IT for Patient Safety and Improving the Safety of Health IT.

PubMed

Magrabi, Farah; Ong, Mei-Sing; Coiera, Enrico

2016-01-01

Alongside their benefits health IT applications can pose new risks to patient safety. Problems with IT have been linked to many different types of clinical errors including prescribing and administration of medications; as well as wrong-patient, wrong-site errors, and delays in procedures. There is also growing concern about the risks of data breach and cyber-security. IT-related clinical errors have their origins in processes undertaken to design, build, implement and use software systems in a broader sociotechnical context. Safety can be improved with greater standardization of clinical software and by improving the quality of processes at different points in the technology life cycle, spanning design, build, implementation and use in clinical settings. Oversight processes can be set up at a regional or national level to ensure that clinical software systems meet specific standards. Certification and regulation are two mechanisms to improve oversight. In the absence of clear standards, guidelines are useful to promote safe design and implementation practices. Processes to identify and mitigate hazards can be formalised via a safety management system. Minimizing new patient safety risks is critical to realizing the benefits of IT.

Global Situational Awareness with Free Tools

DTIC Science & Technology

2015-01-15

Client Technical Solutions • Software Engineering Measurement and Analysis • Architecture Practices • Product Line Practice • Team Software Process...multiple data sources • Snort (Snorby on Security Onion ) • Nagios • SharePoint RSS • Flow • Others • Leverage standard data formats • Keyhole Markup Language

A new practice-driven approach to develop software in a cyber-physical system environment

NASA Astrophysics Data System (ADS)

Jiang, Yiping; Chen, C. L. Philip; Duan, Junwei

2016-02-01

Cyber-physical system (CPS) is an emerging area, which cannot work efficiently without proper software handling of the data and business logic. Software and middleware is the soul of the CPS. The software development of CPS is a critical issue because of its complicity in a large scale realistic system. Furthermore, object-oriented approach (OOA) is often used to develop CPS software, which needs some improvements according to the characteristics of CPS. To develop software in a CPS environment, a new systematic approach is proposed in this paper. It comes from practice, and has been evolved from software companies. It consists of (A) Requirement analysis in event-oriented way, (B) architecture design in data-oriented way, (C) detailed design and coding in object-oriented way and (D) testing in event-oriented way. It is a new approach based on OOA; the difference when compared with OOA is that the proposed approach has different emphases and measures in every stage. It is more accord with the characteristics of event-driven CPS. In CPS software development, one should focus on the events more than the functions or objects. A case study of a smart home system is designed to reveal the effectiveness of the approach. It shows that the approach is also easy to be operated in the practice owing to some simplifications. The running result illustrates the validity of this approach.

Forensic-metrological considerations on assessment of compliance (or non-compliance) in forensic blood alcohol content determinations: A case study with software application.

PubMed

Zamengo, Luca; Frison, Giampietro; Tedeschi, Gianpaola; Frasson, Samuela

2016-08-01

Blood alcohol concentration is the most frequent analytical determination carried out in forensic toxicology laboratories worldwide. It is usually required to assess if an offence has been committed by comparing blood alcohol levels with specified legal limits, which can vary widely among countries. Due to possible serious legal consequences associated with non-compliant alcohol levels, measurement uncertainty should be carefully evaluated, along with other metrological aspects which can influence the final result. The whole procedure can be time-consuming and error-generating in routine practice, increasing the risks for unreliable assessments. A software application named Ethanol WorkBook (EtWB) was developed at the author's laboratory by using Visual Basic for Application language and MS Excel(®), with the aim of providing help to forensic analysts involved in blood alcohol determinations. The program can (i) calculate measurement uncertainties and decision limits with different methodologies; (ii) assess compliance to specification limits with a guard-band approach; (iii) manage quality control (QC) data and create control charts for QC samples; (iv) create control maps from real cases data archives; (v) provide laboratory reports with graphical outputs for elaborated data and (vi) create comprehensive searchable case archives. A typical example of drink driving case is presented and discussed to illustrate the importance of a metrological approach for reliable compliance assessment and to demonstrate software application in routine practice. The tool is made freely available to the scientific community at request. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

On the Prospects and Concerns of Integrating Open Source Software Environment in Software Engineering Education

ERIC Educational Resources Information Center

Kamthan, Pankaj

2007-01-01

Open Source Software (OSS) has introduced a new dimension in software community. As the development and use of OSS becomes prominent, the question of its integration in education arises. In this paper, the following practices fundamental to projects and processes in software engineering are examined from an OSS perspective: project management;…

Ten recommendations for software engineering in research.

PubMed

Hastings, Janna; Haug, Kenneth; Steinbeck, Christoph

2014-01-01

Research in the context of data-driven science requires a backbone of well-written software, but scientific researchers are typically not trained at length in software engineering, the principles for creating better software products. To address this gap, in particular for young researchers new to programming, we give ten recommendations to ensure the usability, sustainability and practicality of research software.

[The development and evaluation of software to verify diagnostic accuracy].

PubMed

Jensen, Rodrigo; de Moraes Lopes, Maria Helena Baena; Silveira, Paulo Sérgio Panse; Ortega, Neli Regina Siqueira

2012-02-01

This article describes the development and evaluation of software that verifies the accuracy of diagnoses made by nursing students. The software was based on a model that uses fuzzy logic concepts, including PERL, the MySQL database for Internet accessibility, and the NANDA-I 2007-2008 classification system. The software was evaluated in terms of its technical quality and usability through specific instruments. The activity proposed in the software involves four stages in which students establish the relationship values between nursing diagnoses, defining characteristics/risk factors and clinical cases. The relationship values determined by students are compared to those of specialists, generating performance scores for the students. In the evaluation, the software demonstrated satisfactory outcomes regarding the technical quality and, according to the students, helped in their learning and may become an educational tool to teach the process of nursing diagnosis.

A Quantitative Analysis of Open Source Software's Acceptability as Production-Quality Code

ERIC Educational Resources Information Center

Fischer, Michael

2011-01-01

The difficulty in writing defect-free software has been long acknowledged both by academia and industry. A constant battle occurs as developers seek to craft software that works within aggressive business schedules and deadlines. Many tools and techniques are used in attempt to manage these software projects. Software metrics are a tool that has…

A Heuristic for Improving Legacy Software Quality during Maintenance: An Empirical Case Study

ERIC Educational Resources Information Center

Sale, Michael John

2017-01-01

Many organizations depend on the functionality of mission-critical legacy software and the continued maintenance of this software is vital. Legacy software is defined here as software that contains no testing suite, is often foreign to the developer performing the maintenance, lacks meaningful documentation, and over time, has become difficult to…

Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4)

NASA Astrophysics Data System (ADS)

Katz, Daniel S.; Niemeyer, Kyle E.; Gesing, Sandra; Hwang, Lorraine; Bangerth, Wolfgang; Hettrick, Simon; Idaszak, Ray; Salac, Jean; Hong, Neil Chue; Núñez-Corrales, Santiago; Allen, Alice; Geiger, R. Stuart; Miller, Jonah; Chen, Emily; Dubey, Anshu; Lago, Patricia

This article summarizes motivations, organization, and activities of the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4). The WSSSPE series promotes sustainable research software by positively impacting principles and best practices, careers, learning, and credit. This article discusses the code of conduct; the mission and vision statements that were drafted at the workshop and finalized shortly after it; the keynote and idea papers, position papers, experience papers, demos, and lightning talks presented during the workshop; and a panel discussion on best practices. The main part of the article discusses the set of working groups that formed during the meeting, along with contact information for readers who may want to join a group. Finally, it discusses a survey of the workshop attendees.

Earth Observing System (EOS)/Advanced Microwave Sounding Unit-A (AMSU-A) software assurance plan

NASA Technical Reports Server (NTRS)

Schwantje, Robert; Smith, Claude

1994-01-01

This document defines the responsibilities of Software Quality Assurance (SOA) for the development of the flight software installed in EOS/AMSU-A instruments, and the ground support software used in the test and integration of the EOS/AMSU-A instruments.

Characteristics of the retinal images of the eye optical systems with implanted intraocular lenses

NASA Astrophysics Data System (ADS)

Siedlecki, Damian; Zając, Marek; Nowak, Jerzy

2007-04-01

Cataract, or opacity of crystalline lens in the human eye is one of the most frequent reasons of blindness nowadays. Removing the pathologically altered crystalline lens and replacing it with artificial implantable intraocular lens (IOL) is practically the only therapy in this illness. There exist a wide variety of artificial IOL types on the medical market, differing in their material and design (shape). In this paper six exemplary models of IOL's made of PMMA, acrylic and silicone are considered. The retinal image quality is analyzed numerically on the basis of Liou-Brennan eye model with these IOL's inserted. Chromatic aberration as well as polychromatic Point Spread Function and Modulation Transfer Function are calculated as most adequate image quality measures. The calculations made with Zemax TM software show the importance of chromatic aberration correction.

Process air quality data

NASA Technical Reports Server (NTRS)

Butler, C. M.; Hogge, J. E.

1978-01-01

Air quality sampling was conducted. Data for air quality parameters, recorded on written forms, punched cards or magnetic tape, are available for 1972 through 1975. Computer software was developed to (1) calculate several daily statistical measures of location, (2) plot time histories of data or the calculated daily statistics, (3) calculate simple correlation coefficients, and (4) plot scatter diagrams. Computer software was developed for processing air quality data to include time series analysis and goodness of fit tests. Computer software was developed to (1) calculate a larger number of daily statistical measures of location, and a number of daily monthly and yearly measures of location, dispersion, skewness and kurtosis, (2) decompose the extended time series model and (3) perform some goodness of fit tests. The computer program is described, documented and illustrated by examples. Recommendations are made for continuation of the development of research on processing air quality data.

CytoBayesJ: software tools for Bayesian analysis of cytogenetic radiation dosimetry data.

PubMed

Ainsbury, Elizabeth A; Vinnikov, Volodymyr; Puig, Pedro; Maznyk, Nataliya; Rothkamm, Kai; Lloyd, David C

2013-08-30

A number of authors have suggested that a Bayesian approach may be most appropriate for analysis of cytogenetic radiation dosimetry data. In the Bayesian framework, probability of an event is described in terms of previous expectations and uncertainty. Previously existing, or prior, information is used in combination with experimental results to infer probabilities or the likelihood that a hypothesis is true. It has been shown that the Bayesian approach increases both the accuracy and quality assurance of radiation dose estimates. New software entitled CytoBayesJ has been developed with the aim of bringing Bayesian analysis to cytogenetic biodosimetry laboratory practice. CytoBayesJ takes a number of Bayesian or 'Bayesian like' methods that have been proposed in the literature and presents them to the user in the form of simple user-friendly tools, including testing for the most appropriate model for distribution of chromosome aberrations and calculations of posterior probability distributions. The individual tools are described in detail and relevant examples of the use of the methods and the corresponding CytoBayesJ software tools are given. In this way, the suitability of the Bayesian approach to biological radiation dosimetry is highlighted and its wider application encouraged by providing a user-friendly software interface and manual in English and Russian. Copyright © 2013 Elsevier B.V. All rights reserved.

Application of KinectTM and wireless technology for patient data recording and viewing system in the course of surgery

NASA Astrophysics Data System (ADS)

Ong, Aira Patrice R.; Bugtai, Nilo T.; Aldaba, Luis Miguel M.; Madrangca, Astrid Valeska H.; Que, Giselle V.; Que, Miles Frederick L.; Tan, Kean Anderson. S.

2017-02-01

In modern operating room (OR) conditions, a patient's computed tomography (CT) or magnetic resonance imaging (MRI) scans are some of the most important resources during surgical procedures. In practice, the surgeon is impelled to scrub out and back in every time he needs to scroll through scan images in mid-operation. To prevent leaving the operating table, many surgeons rely on assistants or nurses and give instructions to manipulate the computer for them, which can be cumbersome and frustrating. As a motivation for this study, the use of touchless (non-contact) gesture-based interface in medical practice is incorporated to have aseptic interactions with the computer systems and with the patient's data. The system presented in this paper is composed of three main parts: the Trek Ai-Ball Camera, the Microsoft Kinect™, and the computer software. The incorporation of these components and the developed software allows the user to perform 13 hand gestures, which have been tested to be 100 percent accurate. Based on the results of the tests performed on the system performance, the conclusions made regarding the time efficiency of the viewing system, the quality and the safety of the recording system has gained positive feedback from consulting doctors.

Improving software maintenance through measurement

NASA Technical Reports Server (NTRS)

Rombach, H. Dieter; Ulery, Bradford T.

1989-01-01

A practical approach to improving software maintenance through measurements is presented. This approach is based on general models for measurement and improvement. Both models, their integration, and practical guidelines for transferring them into industrial maintenance settings are presented. Several examples of applications of the approach to real-world maintenance environments are discussed.

Training the Knowledge Worker: A Descriptive Study of Training Practices in Irish Software Companies.

ERIC Educational Resources Information Center

Acton, Thomas; Golden, Willie

2003-01-01

Employees (n=200) of 39 Irish software companies indicated the following about training practices: organizational commitment to and provision for training was positively associated with employee expectations; well-designed training increased job satisfaction and helped retain organizational knowledge. One-third believed training has not helped…

Influence of HRM Practices on Organizational Commitment: A Study among Software Professionals in India

ERIC Educational Resources Information Center

Paul, A. K.; Anantharaman, R. N.

2004-01-01

Although organizational commitment has been discussed frequently in organizational psychology for almost four decades, few studies have involved software professionals. A study in India reveals that HRM practices such as employee-friendly work environment, career development, development oriented appraisal, and comprehensive training show a…

Using Smart Pumps to Understand and Evaluate Clinician Practice Patterns to Ensure Patient Safety

PubMed Central

Mansfield, Jennifer; Jarrett, Steven

2013-01-01

Background: Safety software installed on intravenous (IV) infusion pumps has been shown to positively impact the quality of patient care through avoidance of medication errors. The data derived from the use of smart pumps are often overlooked, although these data provide helpful insight into the delivery of quality patient care. Objective: The objectives of this report are to describe the value of implementing IV infusion safety software and analyzing the data and reports generated by this system. Case study: Based on experience at the Carolinas HealthCare System (CHS), executive score cards provide an aggregate view of compliance rate, number of alerts, overrides, and edits. The report of serious errors averted (ie, critical catches) supplies the location, date, and time of the critical catch, thereby enabling management to pinpoint the end-user for educational purposes. By examining the number of critical catches, a return on investment may be calculated. Assuming 3,328 of these events each year, an estimated cost avoidance would be $29,120,000 per year for CHS. Other reports allow benchmarking between institutions. Conclusion: A review of the data about medication safety across CHS has helped garner support for a medication safety officer position with the goal of ultimately creating a safer environment for the patient. PMID:24474836