Relevant bibliographies by topics / Software Measurement Framework

Academic literature on the topic 'Software Measurement Framework'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Software Measurement Framework"

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Bush, Martin E., and Norman E. Fenton. "Software measurement: A conceptual framework." Journal of Systems and Software 12, no. 3 (July 1990): 223–31. http://dx.doi.org/10.1016/0164-1212(90)90043-l.

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Stockman, S. G., A. R. Todd, and G. A. Robinson. "A framework for software quality measurement." IEEE Journal on Selected Areas in Communications 8, no. 2 (1990): 224–33. http://dx.doi.org/10.1109/49.46876.

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Arpaia, Pasquale, Lucio Fiscarelli, and Giuseppe Commara. "Advanced User Interface Generation in the Software Framework for Magnetic Measurements at Cern." Metrology and Measurement Systems 17, no. 1 (January 1, 2010): 27–37. http://dx.doi.org/10.2478/v10178-010-0003-y.

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Advanced User Interface Generation in the Software Framework for Magnetic Measurements at CernA model-based approach, the Model-View-Interactor Paradigm, for automatic generation of user interfaces in software frameworks for measurement systems is proposed. The Model-View-Interactor Paradigm is focused on the "interaction" typical in a software framework for measurement applications: the final user interacts with the automatic measurement system executing a suitable high-level script previously written by a test engineer. According to the main design goal of frameworks, the proposed approach allows the user interfaces to be separated easily from the application logic for enhancing the flexibility and reusability of the software. As a practical case study, this approach has been applied to the flexible software framework for magnetic measurements at the European Organization for Nuclear research (CERN). In particular, experimental results about the scenario of permeability measurements are reported.
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Mora, B., F. Garcia, F. Ruiz, M. Piattini, A. Boronat, A. Gomez, J. A. Carsi, and I. Ramos. "Software generic measurement framework based on MDA." IEEE Latin America Transactions 6, no. 4 (August 2008): 363–70. http://dx.doi.org/10.1109/tla.2008.4815290.

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Kitchenham, B., S. L. Pfleeger, and N. Fenton. "Towards a framework for software measurement validation." IEEE Transactions on Software Engineering 21, no. 12 (1995): 929–44. http://dx.doi.org/10.1109/32.489070.

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Mora, Beatriz, Felix Garcia, Francisco Ruiz, Mario Piattini, Artur Boronat, Abel Gomez, Jose Angel Carsi, and Isidro Ramos. "Software Generic Measurement Framework Based on MDA." IEEE Latin America Transactions 8, no. 5 (September 2010): 605–13. http://dx.doi.org/10.1109/tla.2010.5623515.

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Mora, Beatriz, Felix Garcia, Francisco Ruiz, Mario Piattini, Artur Boronat, Abel Gomez, Jose Angel Carsi, and Isidro Ramos. "Software Generic Measurement Framework Based on MDA." IEEE Latin America Transactions 9, no. 1 (March 2011): 864–71. http://dx.doi.org/10.1109/tla.2011.5876432.

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Wang, Jin Zhu, and Jian Jie Ding. "A Framework for Filtrating Software Measures in Software Measurement Process." Advanced Materials Research 605-607 (December 2012): 2479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2479.

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Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.
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Abdellatif, Ahmad, Mohammad Alshayeb, Sami Zahran, and Mahmood Niazi. "A measurement framework for software product maturity assessment." Journal of Software: Evolution and Process 31, no. 4 (January 9, 2019): e2151. http://dx.doi.org/10.1002/smr.2151.

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Mouchawrab, Samar, Lionel C. Briand, and Yvan Labiche. "A measurement framework for object-oriented software testability." Information and Software Technology 47, no. 15 (December 2005): 979–97. http://dx.doi.org/10.1016/j.infsof.2005.09.003.

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Dissertations / Theses on the topic "Software Measurement Framework"

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Wille, Cornelius [Verfasser]. "Software Agent Measurement Framework / Cornelius Wille." Aachen : Shaker, 2005. http://d-nb.info/118657741X/34.

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Zhang, Jianhao, and Xuxiao Chen. "Software Evolvability Measurement Framework during an Open Source Software Evolution." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13983.

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Context： Software evolution comes with the increasing growth of software applications both in size and complexity. Unlike the software maintenance, software evolution addresses more on the adaption of the new fast-changing requirements. Then the term of “software evolvability” comes with its importance for evaluating the evolution status of the software. However, it is not clearly identified especially in the context of open source software (OSS). Besides the most studies are about the description of software evolvability as a quality attribute, and very few research have done on the measurement of software evolvability during the software evolution process. Objectives： In this study we perform an in-depth investigation on identification of the OSS evolvability, and figure out the appropriate metrics used for measuring the OSS evolvability. Based on that we finally proposed the open source software evolvability measurement framework (OSEM) which could be used for measuring the software evolvability generally in an OSS context. Methods： At first, we conducted a literature review by combining backward snowballing search with systematic database search. Two research questions which are RQ1 and RQ2 are proposed for helping us to retrieve the key information for building the needed framework. Then we performed a case study on VLC media player (an OSS project) to validate the processes of the proposed framework. Results： Based on literature we could explicitly identify the OSS evolvability, and figure out the differences of software evolvability addressed in OSS context and non OSS context (e.g, the traceability refers to documentation in non OSS context, however in OSS context it refers to the release version of OSS project). Besides we also fulfill the evolvability measuring method by addressing the process of prioritization of evolvability sub-characteristics. In the end we implement the OSEM framework on VLC media player and get the well documented results which are clearly presented and easy to understand. Such results could be taken by the VLC developers as an input for the design and development of the VLC. Conclusions: We conclude that the open source software measurement framework (OSEM) is applicable, based on the time we spent on the case of VLC media player it is quite fast and efficient to use such framework. The results from the conduction of this framework are documented well and very clear for OSS users/developers to follow.
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Cruickshank, Kristian John. "A validation metrics framework for safety-critical software-intensive systems." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Mar/09Mar%5FCruickshank.pdf.

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Thesis (M.S. in Software Engineering)--Naval Postgraduate School, March 2009.
Thesis Advisors: Michael, James B. ; Shing, Man-Tak. "March 2009." Description based on title screen as viewed on April 23, 2009. Author subject terms: Software Metrics, Safety Metrics, Validation Metrics, Metrics Framework, Validation, Safety-Critical Software, Software Engineering, Goal Question Metric, Goal Structuring Notation. Includes bibliographical references (p. 119-121). Also available in print.
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Berry, Michael CSE UNSW. "Assessment of software measurement." Awarded by:University of New South Wales. CSE, 2006. http://handle.unsw.edu.au/1959.4/25134.

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Background and purpose. This thesis documents a program of five studies concerned with the assessment of software measurement. The goal of this program is to assist the software industry to improve the information support for managers, analysts and software engineers by providing evidence of where opportunities for improving measurement and analysis exist. Methods. The first study examined the assessment of software measurement frameworks using models of best practice based on performance/success factors. The software measurement frameworks of thirteen organisations were surveyed. The association between a factor and the outcome experienced with the organisations' frameworks was then evaluated. The subsequent studies were more info-centric and investigated using models of information quality to assess the support provided for software processes. For these studies, information quality models targeting specific software processes were developed using practitioner focus groups. The models were instantiated in survey instruments and the responses were analysed to identify opportunities to improve the information support provided. The final study compared the use of two different information quality models for the assessing and improving information support. Assessments of the same quantum of information were made using a targeted model and a generic model. The assessments were then evaluated by an expert panel in order to identify which information quality model was more effective for improvement purposes. Results. The study of performance factors for software measurement frameworks confirmed the association of some factors with success and quantified that association. In particular, it demonstrated the importance of evaluating contextual factors. The conclusion is that factor-based models may be appropriately used for risk analysis and for identifying constraints on measurement performance. Note, however, that a follow-up study showed that some initially successful frameworks subsequently failed. This implied an instability in the dependent variable, success, that could reduce the value of factor-based models for predicting success. The studies of targeted information quality models demonstrated the effectiveness of targeted assessments for identifying improvement opportunities and suggest that they are likely to be more effective for improvement purposes than using generic information quality models. The studies also showed the effectiveness of importance-performance analysis for prioritizing improvement opportunities.
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Islam, A. K. M. Moinul, and Michael Unterkalmsteiner. "Software Process Improvement Measurement and Evaluation Framework (SPI-MEF)." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2493.

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During the last decades, the dependency on software has increased. Many of today’s modern devices embed software to control their functions. The increasing dependency has also taken part in shaping the software development process to produce better quality software. Many researchers and practitioners have spent large investments to improve the software development process. A research area within software engineering that addresses the assessment and improvement issues in development processes is called Software Process Improvement (SPI). One of the essential aspects in software process improvement is measuring the outcome of the implemented changes. The measurement and evaluation of software process improvement provides the means for the organization to articulate the achievement level of their goals. Although the importance of measuring and evaluating the outcome of software process improvement is paramount, there exist no common guidelines or systematic methods of measuring and evaluating the improvement. This condition evokes difficulties for practitioners to implement software process improvement measurement programs. This issue has raised the challenge to develop and implement an effective framework for measuring and evaluating the outcome of software process improvement initiatives. This thesis presents a measurement and evaluation framework for software process improvement. SPI-MEF provides guidelines in the form of systematic steps to evaluate the outcome of software process improvement. The framework is based on key concepts which were elaborated in previous work. In this thesis, a validation of SPI-MEF is also conducted by involving representatives from academia and industry. The validation is aimed to judge the frameworks’ usability, applicability and usefulness. Finally, a refinement of the framework is carried out based on the input from the validation.
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Aktunc, Ozgur. "An entropy-based measurement framework for component-based hierarchical systems." Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2008r/aktunc.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2007.
Additional advisors: Gary J. Grimes, Chittoor V. Ramamoorthy, Murat N. Tanju, Gregg L. Vaughn, B. Earl Wells. Description based on contents viewed Feb. 12, 2009; title from PDF t.p. Includes bibliographical references (p. 150-158).
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Wagner, Palheta Viana Paulino. "FROISPI Framework return on investment of software process improvement." Universidade Federal de Pernambuco, 2009. https://repositorio.ufpe.br/handle/123456789/1982.

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Made available in DSpace on 2014-06-12T15:53:37Z (GMT). No. of bitstreams: 2 arquivo1924_1.pdf: 3478481 bytes, checksum: a0f58f98b37132402ca52683d62410df (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2009
Fundação de Amparo à Pesquisa do Estado do Amazonas
As empresas de software brasileiras buscam conquistar cada vez mais o mercado nacional e internacional, os quais estão mais competitivos. A estratégia viável é investir no aumento da qualidade e produtividade. O foco desse trabalho é investigar fatores relevantes para mensurar o Return on Investment (ROI) em Melhoria de Processo de Software (MPS). Com o objetivo de propor um framework constituído por fases baseado nos conceitos da ROI Methodology, utilizando indicadores utilizados por David Rico em ROI of SPI e uma seleção de medições utilizadas para MPS. As fases são: Identificação do problema; Diagnóstico detalhado; Estimativa de ROI; Implementação e Encerramento. Para cada fase, baseados no paradigma GQM Goal-Question-Metric foram definidos indicadores de medição para monitorar o FROISPI. As quatro primeiras fases seguem o conceito clássico do PDCA, que para cada solução sugerida de melhoria, analisa seus resultados e se os mesmos forem considerados plenamente satisfatórios, seguirá para a fase de Encerramento, caso contrário o processo cíclico continua até a necessidade de melhoria ser satisfeita. Na fase de Encerramento serão apresentados à alta direção os resultados alcançados com a utilização do FROISPI. O experimento foi executado em três organizações de maturidade bem distintas, mas somente uma organização conseguiu concluir com êxito
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Horgan, Gerard. "Construction of a quality assurance and measurement framework for software projects." Thesis, Kingston University, 2000. http://eprints.kingston.ac.uk/20649/.

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The way in which quality is modelled within an organisation has typically followed either a fixed-model or a tailorable approach. Fixed-model techniques suffer the disadvantage of inflexibility to local environments, since, the parameters of these models cannot be changed by users or designers to reflect their own views. The tailorable approaches tend to preclude cross-project comparisons. In addition, both techniques lack comprehensive guidelines for building quality into a software product, and lack the ability to resolve conflicts where individuals disagree about the model parameters. In this work, the construction of a new approach is described which overcomes these deficiencies. Since metrics and metric measurement is an important component of quality models, common metrics and measurement techniques are identified, before the construction and evaluation of the new quality modelling approach is presented. A common metric is software size, measurement of which can be performed by use of the Function Point Analysis (FPA) technique. The weighting and adjustment factors of the traditional FPA approach are simplified here, to produce a new estimation technique which can be used at early stages in the development lifecycle. The new model is validated against two project datasets, and the results show a good degree of accuracy when estimating the FPA count, although a lower performance is achieved when estimating actual effort. The major component of this thesis is the construction of the new quality modelling approach, that enables local requirements tailoring whilst providing the ability to perform cross-project comparisons. Unlike existing techniques, comprehensive conflict resolution mechanisms are incorporated, and it is shown that the approach can be used to measure different software entities, allowing direct comparisons between measurements and thus producing more consistent results. The implementation consists of the construction of a software tool supporting the new methodology, and use of both this tool and the technique on real projects at a large financial organisation. The validation of the approach is performed against a list of requirements for a good quality model, and from feedback both from use on the projects and from a questionnaire survey.
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Zhu, Liming Computer Science &amp Engineering Faculty of Engineering UNSW. "Software architecture evaluation for framework-based systems." Awarded by:University of New South Wales. Computer Science and Engineering, 2007. http://handle.unsw.edu.au/1959.4/28250.

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Complex modern software is often built using existing application frameworks and middleware frameworks. These frameworks provide useful common services, while simultaneously imposing architectural rules and constraints. Existing software architecture evaluation methods do not explicitly consider the implications of these frameworks for software architecture. This research extends scenario-based architecture evaluation methods by incorporating framework-related information into different evaluation activities. I propose four techniques which target four different activities within a scenario-based architecture evaluation method. 1) Scenario development: A new technique was designed aiming to extract general scenarios and tactics from framework-related architectural patterns. The technique is intended to complement the current scenario development process. The feasibility of the technique was validated through a case study. Significant improvements of scenario quality were observed in a controlled experiment conducted by another colleague. 2) Architecture representation: A new metrics-driven technique was created to reconstruct software architecture in a just-in-time fashion. This technique was validated in a case study. This approach has significantly improved the efficiency of architecture representation in a complex environment. 3) Attribute specific analysis (performance only): A model-driven approach to performance measurement was applied by decoupling framework-specific information from performance testing requirements. This technique was validated on two platforms (J2EE and Web Services) through a number of case studies. This technique leads to the benchmark producing more representative measures of the eventual application. It reduces the complexity behind the load testing suite and framework-specific performance data collecting utilities. 4) Trade-off and sensitivity analysis: A new technique was designed seeking to improve the Analytical Hierarchical Process (AHP) for trade-off and sensitivity analysis during a framework selection process. This approach was validated in a case study using data from a commercial project. The approach can identify 1) trade-offs implied by an architecture alternative, along with the magnitude of these trade-offs. 2) the most critical decisions in the overall decision process 3) the sensitivity of the final decision and its capability for handling quality attribute priority changes.
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Mughal, Aftab Ahmad, and Muhammad Nadeem. "A Framework for a More Structured, Integrated and Effective Software Measurement Process." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4072.

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Software organizations have been initiating measurement programs as part of their software process improvement practices which in turn increase the quality of the software products. However, high numbers of organizations reported their measurement programs as failures. One of the major difficulties they faced was stated to be the difficulty in deciding which set of measures to collect for different software entities; products, processes, and resources. In addition to what should be collected, organizations would like to collect as minimum number of measures as possible in order to be cost effective. Different goal based measures selection models have been introduced to aid in these, namely Goal Question Metric (GQM) is one of the most well known and adopted ones by software organizations. It facilitates measurement programs to define goals and then collect measures according to goals. However, the current approaches require being more structured and integrated to enable an effective software measurement process. ‘Structured’ means the goals, questions and measures as well as their vertical and horizontal relations are well-defined. A structured measurement process can be ‘integrated’ to the organization via establishing links between business and organizational goals and the measurement process. The whole process becomes more ‘effective’ as these goals and measures become traceable, and hence the mechanisms to prioritize and select the optimum set of measures could be established. In this research work our main focus is to evaluate goal based models and to develop a framework for a more effective measurement process, called Structured Optimized Measurement Selection (SOMS). As part of SOMS, alternative ways for goals prioritization and measures optimization are proposed. In order to make the whole process more efficient, a tool is developed as well. Both SOMS with different alternative prioritization and optimization techniques as well as the tool were evaluated by conducting case studies in a CMMI level 3 software development organization and the results are compared to a previous case study conducted on the same case by using other techniques which are extensions of GQM, i.e. namely Structured Prioritized Goals Questions Metrics (SPGQM) and Optimum Measures Set Decision (OMSD).
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Books on the topic "Software Measurement Framework"

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Nance, Richard E. Managing Software Quality: A Measurement Framework for Assesment and Prediction. London: Springer London, 2002.

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Zuse, Horst. Framework of Software Measurement. De Gruyter, Inc., 1998.

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A Framework of Software Measurement. Walter de Gruyter, 1997.

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Wang, Yingxu. Software Engineering Measurement and Analysis: An Applied Framework of Software Metrics. AUERBACH / CRC Press, 2009.

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Flexible Test Automation: A Software Framework for Easily Developing Measurement Applications. Momentum Press, 2014.

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Florac, William. Software Quality Measurement: A Framework for Counting Problems and Defects/Sei-92-Tr-022. Research Access Inc, 1992.

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A Data Collection and Representation Framework for Software and Human- Computer Interaction Measurements. Storming Media, 2000.

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Book chapters on the topic "Software Measurement Framework"

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Suonsyrjä, Sampo, and Tommi Mikkonen. "Designing an Unobtrusive Analytics Framework for Monitoring Java Applications." In Software Measurement, 160–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_11.

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Meyerhöfer, Marcus, and Christoph Neumann. "TESTEJB – A Measurement Framework for EJBs." In Component-Based Software Engineering, 294–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24774-6_26.

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Dumke, Reiner. "Erfahrungen in der Anwendung eines allgemeinen objektorientierten Measurement Framework." In Software-Metriken, 71–93. Wiesbaden: Deutscher Universitätsverlag, 2000. http://dx.doi.org/10.1007/978-3-322-93389-8_5.

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Fu, Jianping, Bin Liu, and Minyan Lu. "A Framework for Embedded Software Testability Measurement." In Communications in Computer and Information Science, 105–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19853-3_15.

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Ardimento, Pasquale, Maria Teresa Baldassarre, Danilo Caivano, and Giuseppe Visaggio. "Multiview Framework for Goal Oriented Measurement Plan Design." In Product Focused Software Process Improvement, 159–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24659-6_12.

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Díaz-Ley, María, Félix García, and Mario Piattini. "Software Measurement Programs in SMEs – Defining Software Indicators: A Methodological Framework." In Product-Focused Software Process Improvement, 247–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73460-4_23.

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Aceto, Luca, Duncan Paul Attard, Adrian Francalanza, and Anna Ingólfsdóttir. "On Benchmarking for Concurrent Runtime Verification." In Fundamental Approaches to Software Engineering, 3–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_1.

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AbstractWe present a synthetic benchmarking framework that targets the systematic evaluation of RV tools for message-based concurrent systems. Our tool can emulate various load profiles via configuration. It provides a multi-faceted view of measurements that is conducive to a comprehensive assessment of the overhead induced by runtime monitoring. The tool is able to generate significant loads to reveal edge case behaviour that may only emerge when the monitoring system is pushed to its limit. We evaluate our framework in two ways. First, we conduct sanity checks to assess the precision of the measurement mechanisms used, the repeatability of the results obtained, and the veracity of the behaviour emulated by our synthetic benchmark. We then showcase the utility of the features offered by our tool in a two-part RV case study.
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Kettunen, Petri, Mikko Ämmälä, Tanja Sauvola, Susanna Teppola, Jari Partanen, and Simo Rontti. "Towards Continuous Customer Satisfaction and Experience Management: A Measurement Framework Design Case in Wireless B2B Industry." In Product-Focused Software Process Improvement, 598–608. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49094-6_45.

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Olsina, Luis, Fernanda Papa, and Hernán Molina. "Organization-Oriented Measurement and Evaluation Framework for Software and Web Engineering Projects." In Lecture Notes in Computer Science, 42–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11531371_9.

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Selby, Richard W. "Software measurement and experimentation frameworks, mechanisms, and infrastructure." In Experimental Software Engineering Issues: Critical Assessment and Future Directions, 87–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57092-6_106.

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Conference papers on the topic "Software Measurement Framework"

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Li, Xiao-dan, and Yong-feng Yin. "A Unified Framework for Software Coupling Measurement." In 2014 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014) ). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/sekeie-14.2014.37.

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Matsumoto, Shinsuke, and Masahide Nakamura. "Service Oriented Framework for Mining Software Repository." In 2011 Joint Conf of 21st Int'l Workshop on Software Measurement and the 6th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2011. http://dx.doi.org/10.1109/iwsm-mensura.2011.28.

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Mora, Beatriz, Felix Garcia, Francisco Ruiz, and Mario Piattini. "Model-Driven Software Measurement Framework: A Case Study." In 2009 9th International Conference on Quality Software (QSIC). IEEE, 2009. http://dx.doi.org/10.1109/qsic.2009.39.

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Abidin, Zaiha Nadiah Zainal, Jamaiah H. Yahaya, and Aziz Deraman. "Software ageing measurement model (SAMM): The conceptual framework." In 2015 International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2015. http://dx.doi.org/10.1109/iceei.2015.7352544.

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He, Lingsong, and Lei Bei. "A component based software framework for vision measurement." In Seventh International Symposium on Precision Engineering Measurements and Instrumentation, edited by Kuang-Chao Fan, Man Song, and Rong-Sheng Lu. SPIE, 2011. http://dx.doi.org/10.1117/12.905070.

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Röning, Juha, Ville Tuhkanen, Risto Sipola, and Tero Vallius. "Software framework for nano- and microscale measurement applications." In IS&T/SPIE Electronic Imaging, edited by Juha Röning, David P. Casasent, and Ernest L. Hall. SPIE, 2011. http://dx.doi.org/10.1117/12.876575.

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Mei, Yuan, and Fan Lingjie. "ATS Software Framework Design Pattern and Application." In 2015 Fifth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). IEEE, 2015. http://dx.doi.org/10.1109/imccc.2015.37.

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Arpaia, Pasquale, Luca Bottura, Marco Buzio, Domenico Della Ratta, Laurent Deniau, Vitaliano Inglese, Giovanni Spiezia, Stefano Tiso, and Louis Walckiers. "A software framework for flexible magnetic measurements at CERN." In 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007. IEEE, 2007. http://dx.doi.org/10.1109/imtc.2007.379293.

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Dahab, Sarah A., Stephane Maag, and Xiaoping Che. "A Software Measurement Framework Guided by Support Vector Machines." In 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2017. http://dx.doi.org/10.1109/waina.2017.66.

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Peters, Daniel, Florian Thiel, Michael Peter, and Jean-Pierre Seifert. "A secure software framework for Measuring Instruments in legal metrology." In 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2015. http://dx.doi.org/10.1109/i2mtc.2015.7151517.

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Reports on the topic "Software Measurement Framework"

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Park, Robert E. Software Size Measurement: A Framework for Counting Source Statements. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada258304.

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Florac, William A. Software Quality Measurement: A Framework for Counting Problems and Defects. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada258556.

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Goethert, Wolfhart B., Elizabeth K. Bailey, and Mary B. Busby. Software Effort and Schedule Measurement: A Framework for Counting Staff-Hours and Reporting Schedule Information. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada258279.

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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, December 2020. http://dx.doi.org/10.33684/2020.006.

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Abstract:
In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics based in the UK. The aim is to understand the extent to which the Framework factors and subfactors have been studied in order to identify gaps in expertise and provide evidence for decision making thatisrelevant to gambling harms research priorities. A social network analysis identified coauthor networks and alignment of research output with the Framework. The search strategy was limited to peer-reviewed items and covered the 12-year period from 2008 to 2019. Articles were selected using a Web of Science search. Of the 1417 records identified in the search, the dataset was refined to include only those articles that could be assigned to at least one Framework factor (n = 279). The primary factors and subfactors are: Resources:Work and Employment, Money and Debt, Crime;Relationships:Partners, Families and Friends, Community; and Health:Physical Health, Psychological Distress, and Mental Health. We used Gephi software to create visualisations reflecting degree centrality (number of coauthor networks) so that each factor and subfactor could be assessed for the density of research expertise and patterns of collaboration among coauthors. The findings show considerable variation by framework factor in the number of authors and collaborations, suggesting a need to develop additional research capacity to address under-researched areas. The Health factor subcategory of Mental Health comprised almost three-quarters of all citations, with the Resources factor subcategory of Money and Debt a distant second at 12% of all articles. The Relationships factor, comprised of two subfactors, accounted for less than 10%of total articles. Network density varied too. Although there were few collaborative networks in subfactors such as Community or Work and Employment, all Health subfactors showed strong levels of collaboration. Further, some subfactors with a limited number of researchers such as Partners, Families, and Friends and Money and debt had several active collaborations. Some researchers’ had publications that spanned multiple Framework factors. These multiple-factor researchers usually had a wide range of coauthors when compared to those who specialised (with the exception of Mental Health).Others’ collaborations spanned subfactors within a factor area. This was especially notable forHealth. The visualisations suggest that gambling harms research expertise in the UK has considerable room to grow in order to supporta more comprehensive, locally contextualised evidence base for the Framework. To do so, priority harms and funding opportunities will need further consideration. This will require multi-sector and multidisciplinary collaboration consistent with the public health approach underlying the Framework. Future research related to the present analysis will explore the geographic distribution of research activity within the UK, and research collaborations with harms experts internationally.
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