Relevant bibliographies by topics / Software Measurement

Academic literature on the topic 'Software Measurement'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Software Measurement"

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TAKAMASU, Kiyoshi. "Roles of Software for Profile Measurement. Software for Profile Measurements." Journal of the Japan Society for Precision Engineering 61, no. 8 (1995): 1049–53. http://dx.doi.org/10.2493/jjspe.61.1049.

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Quentin, G. "Review: Software Measurement." Computer Bulletin 39, no. 3 (June 1, 1997): 28. http://dx.doi.org/10.1093/combul/39.3.28.

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Kearney, Joseph P., Robert L. Sedlmeyer, William B. Thompson, Michael A. Gray, and Michael A. Adler. "Software complexity measurement." Communications of the ACM 29, no. 11 (November 1986): 1044–50. http://dx.doi.org/10.1145/7538.7540.

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Jørgensen, M. "Software quality measurement." Advances in Engineering Software 30, no. 12 (December 1999): 907–12. http://dx.doi.org/10.1016/s0965-9978(99)00015-0.

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Everett, W. W. "Software reliability measurement." IEEE Journal on Selected Areas in Communications 8, no. 2 (1990): 247–52. http://dx.doi.org/10.1109/49.46878.

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Barford, Lee. "Software in measurement and measurement in software [Life after Graduation]." IEEE Instrumentation & Measurement Magazine 18, no. 3 (June 2015): 40–41. http://dx.doi.org/10.1109/mim.2015.7108398.

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KIYONO, Satoshi. "Roles of Software for Profile Measurement. Profile Measurement Using Software Datums." Journal of the Japan Society for Precision Engineering 61, no. 8 (1995): 1059–63. http://dx.doi.org/10.2493/jjspe.61.1059.

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Hai-Liang, Jian, and Wang Chong-Wen. "Web-Oriented Software Reliability Measurement Model and Application." International Journal of Engineering and Technology 4, no. 4 (2012): 358–61. http://dx.doi.org/10.7763/ijet.2012.v4.383.

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Offen, R. J., and R. Jeffery. "Establishing software measurement programs." IEEE Software 14, no. 2 (1997): 45–53. http://dx.doi.org/10.1109/52.582974.

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Kitchenham, B. A., R. T. Hughes, and S. G. Linkman. "Modeling software measurement data." IEEE Transactions on Software Engineering 27, no. 9 (2001): 788–804. http://dx.doi.org/10.1109/32.950316.

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Dissertations / Theses on the topic "Software Measurement"

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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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Lother, Mathias [Verfasser]. "From Software Measurement to e-Measurement : A Functional Size Measurement - oriented Approach for Software Management / Mathias Lother." Aachen : Shaker, 2007. http://d-nb.info/1166508188/34.

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Ener, Aysun. "Measurement Based Software Process Improvement." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609107/index.pdf.

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This thesis is a study on improving the software requirements management processes of embedded software department of a company. The literature on software process improvement and requirements engineering is reviewed. After determining the problems related to the current requirements management processes of the department, an improved process is proposed addressing these problems. The static process descriptions and the models of the current and improved requirements management processes are formed. A recently proposed pre-enactment model for measuring process quality is used for measuring the quality of the current and improved requirements management processes. Finally, the results of the process quality measurements are compared and evaluated.
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Berg, Klaas Gerrit van den. "Software measurement and functional programming." Enschede : University of Twente [Host], 1995. http://doc.utwente.nl/57883.

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Ryder, Chris. "Software measurement for functional programming." Thesis, University of Kent, 2004. https://kar.kent.ac.uk/14117/.

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This thesis presents an investigation into the usefulness of software measurement techniques, also known as software metrics, for software written in functional programming languages such as Haskell. Statistical analysis is performed on a selection of metrics for Haskell programs, some taken from the world of imperative languages. An attempt is made to assess the utility of various metrics in predicting likely places that bugs may occur in practice by correlating bug fixes with metric values within the change histories of a number of case study programs. This work also examines mechanisms for visualising the results of the metrics and shows some proof of concept implementations for Haskell programs, and notes the usefulness of such tools in other software engineering processes such as refactoring.
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Kanik, Yusuf. "Software Project Scheduling, Software Project Performance Measurement And Control." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606362/index.pdf.

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This thesis is about software project scheduling and use of earned value method on software projects. As a result of the study, a solution for software project scheduling problems is proposed. A mathematical formulation, developed using integer programming method, is at the heart of the solution. Objective of the formulation is to minimize the development costs consisting of direct labor cost, indirect costs and probable penalty costs. The formulation takes the capability and compatibility variances among resources into account whereas contemporary approaches mostly focus on resource availability. Formulation is of type discrete time and takes the time span to be searched as input. Therefore a heuristic approach has been developed for providing time span input to the models developed using the formulation. The heuristic approach has been proven to be calculating a time span that does not hinder achieving the absolute optimum schedule and shortens the solution time of the integer programs. The heuristic approach and problem formulation have been incorporated into a computer program that generates integer programs and heuristic solutions. This thesis also describes a method for preparing an earned value plan, based on the scheduling solution defined. The method aims to help project managers in determining the status of their projects and deciding whether any corrective action is required or not. Besides the method, approaches for incorporating indirect costs and penalty costs, which are not explicitly discussed in literature, into final cost estimation have been described.
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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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Ozkan, Baris. "Software Functionalitymodel For Functional Size Measurement." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615095/index.pdf.

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Functional size is among the few software size measures for which well-structured and standardized methods exists for its measurement. Although Functional Size Measurement(FSM) methods have gone a long way, one ongoing criticism on FSM methods is the discrepancies in the measurement results of the same software obtained by different measures. In this thesis study the sources of discrepancies that involve the functional properties of measurands and constructs of the FSM method models are investigated in two exploratory case studies. In the light of the findings, a software functionality model for functional size measurement is proposed. The model is founded on a characterization of software functionality from a requirements engineering point of view and it aims is to facilitate reliable size measurements on the basis of formalized concepts and rules. Two case studies are conducted in order to evaluate the applicability of the model and validate its effectiveness.
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Ali, Nauman bin, and Henry Edison. "Towards Innovation Measurement in Software Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5690.

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Context: In today’s highly competitive business environment, shortened product and technology life-cycles, it is critical for software industry to continuously innovate. To help an organisation to achieve this goal, a better understanding and control of the activities and determinants of innovation is required. This can be achieved through innovation measurement initiative which assesses innovation capability, output and performance. Objective: This study explores definitions of innovation, innovation measurement frameworks, key elements of innovation and metrics that have been proposed in literature and used in industry. The degree of empirical validation and context of studies was also investigated. It also elicited the perception of innovation, its importance, challenges and state of practice of innovation measurement in software industry. Methods: In this study, a systematic literature review, followed by online questionnaire and face-to-face interviews were conducted. The systematic review used seven electronic databases, including Compendex, Inspec, IEEE Xplore, ACM Digital Library, and Business Source premier, Science Direct and Scopus. Studies were subject to preliminary, basic and advanced criteria to judge the relevance of papers. The online questionnaire targeted software industry practitioners with different roles and firm sizes. A total of 94 completed and usable responses from 68 unique firms were collected. Seven face-to-face semi-structured interviews were conducted with four industry practitioners and three academics. Results: Based on the findings of literature review, interviews and questionnaire a comprehensive definition of innovation was identified which may be used in software industry. The metrics for evaluation of determinants, inputs, outputs and performance were aggregated and categorised. A conceptual model of the key measurable elements of innovation was constructed from the findings of the systematic review. The model was further refined after feedback from academia and industry through interviews. Conclusions: The importance of innovation measurement is well recognised in both academia and industry. However, innovation measurement is not a common practice in industry. Some of the major reasons are lack of available metrics and data collection mechanisms to measure innovation. The organisations which do measure innovation use only a few metrics that do not cover the entire spectrum of innovation. This is partly because of the lack of consistent definition of innovation in industry. Moreover, there is a lack of empirical validation of the metrics and determinants of innovation. Although there is some static validations, full scale industry trials are currently missing. For software industry, a unique challenge is development of alternate measures since some of the existing metrics are inapplicable in this context. The conceptual model constructed in this study is one step towards identifying measurable key aspects of innovation to understanding the innovation capability and performance of software firms.
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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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Books on the topic "Software Measurement"

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Ebert, Christof, and Reiner Dumke. Software Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71649-5.

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Kobyliński, Andrzej, Beata Czarnacka-Chrobot, and Jaroslaw Świerczek, eds. Software Measurement. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9.

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Dumke, Reiner, and Alain Abran, eds. Software Measurement. Wiesbaden: Deutscher Universitätsverlag, 1999. http://dx.doi.org/10.1007/978-3-663-08949-0.

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Austin, Melton, ed. Software measurement. London: International Thomson Computer Press, 1995.

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John, Gaffney, ed. Software measurement guidebook. London: International Thomson Computer Press, 1995.

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Center, Goddard Space Flight, ed. Software measurement guidebook. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1994.

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Jones, Capers. Applied Software Measurement. New York: McGraw-Hill, 2008.

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Laird, Linda M., and M. Carol Brennan. Software Measurement and Estimation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471792535.

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Staron, Miroslaw, and Wilhelm Meding. Software Development Measurement Programs. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91836-5.

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Laird, Linda M. Software Measurement and Estimation. New York: John Wiley & Sons, Ltd., 2006.

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Book chapters on the topic "Software Measurement"

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Ebert, Christof, and Reiner Dumke. "Measurement Repositories." In Software Measurement, 471–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71649-5_13.

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Ebert, Christof, and Reiner Dumke. "Measurement Foundations." In Software Measurement, 41–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71649-5_3.

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AL-Badareen, Anas Bassam, Jean-Marc Desharnais, and Alain Abran. "A Suite of Rules for Developing and Evaluating Software Quality Models." In Software Measurement, 1–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_1.

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Staron, Miroslaw, and Wilhelm Meding. "Measurement-as-a-Service – A New Way of Organizing Measurement Programs in Large Software Development Companies." In Software Measurement, 144–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_10.

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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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Ungan, Erdir, and Onur Demirörs. "A Functional Software Measurement Approach to Bridge the Gap Between Problem and Solution Domains." In Software Measurement, 176–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_12.

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Souto, Francisco Valdés, and Alain Abran. "Improving the COSMIC Approximate Sizing Using the Fuzzy Logic EPCU Model." In Software Measurement, 192–208. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_13.

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Amasaki, Sousuke, and Chris Lokan. "The Effects of Duration-Based Moving Windows with Estimation by Analogy." In Software Measurement, 14–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_2.

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Buglione, Luigi, Alain Abran, Christiane Gresse von Wangenheim, Fergal Mc Caffery, and Jean Carlo Rossa Hauck. "Software or Service? That’s the Question!" In Software Measurement, 30–45. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_3.

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Dasgupta, Aveek, Cigdem Gencel, and Charles Symons. "A Process to Improve the Accuracy of MkII FP to COSMIC Size Conversions: Insights into the COSMIC Method Design Assumptions." In Software Measurement, 46–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_4.

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Conference papers on the topic "Software Measurement"

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Card, D. N. "Practical software measurement." In 25th International Conference on Software Engineering, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/icse.2003.1201263.

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Statz, Joyce. "Practical software measurement." In the 21st international conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/302405.302927.

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Kamensky, M., E. Kralikova, J. Cervenova, and K. Kovac. "Interfacing of measuring devices in educational software system for remote access." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983564.

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Jun, Su, O. Kochan, and M. Levkiv. "Metrological software test for studying the method of thermocouple error determination during operation." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983563.

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Eckel, Michael, and Tim Riemann. "Userspace Software Integrity Measurement." In ARES 2021: The 16th International Conference on Availability, Reliability and Security. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3465481.3470018.

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Pospieszny, Przemyslaw. "Software estimation." In IWSM/Mensura '17: 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3143434.3143459.

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Santhoshini, G., and K. Anbazhagan. "An object based software tool for software measurement." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7033772.

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Card, D. N., and C. L. Jones. "Status report: practical software measurement." In Third International Conference on Quality Software, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/qsic.2003.1319116.

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Howden, W. E., and Yudong Huang. "Confidence oriented software dependability measurement." In the 1994 international symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/186258.187194.

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Chu, Yu-Huang, Wei-Ting Lin, Yao-Chun Wang, Ching-Tzu Hsieh, Ya-Lun Yang, and Kai-Mao Cheng. "Software-defined QoE measurement architecture." In 2014 16th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2014. http://dx.doi.org/10.1109/apnoms.2014.6996535.

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Reports on the topic "Software Measurement"

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McAndrews, Donald R. Establishing a Software Measurement Process. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada267896.

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McCall, James A., William Randell, Janet Dunham, and Linda Lauterbach. Software Reliability, Measurement, and Testing. Volume 2. Guidebook for Software Reliability Measurement and Testing. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada256164.

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ANALYTIC SCIENCES CORP ARLINGTON VA. Evaluation of Sofware Measurement Processes and Software Measurement Support. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada209344.

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McCall, James A., William Randell, Janet Dunham, and Linda Lauterbach. Software Reliability, Measurement, and Testing Software Reliability and Test Integration. Fort Belvoir, VA: Defense Technical Information Center, April 1992. http://dx.doi.org/10.21236/ada256242.

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Pierce, Patricia, Richard Hartley, and Suellen Worrells. Software Quality Measurement Demonstration Project II. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada192849.

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Warthman, James L. Software Quality Measurement Demonstration Project (I). Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada193429.

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ANALYTIC SCIENCES CORP ARLINGTON VA. SDS (Strategic Defense System) Software Measurement Plan. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada212669.

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Rozum, Jim. Software Measurement Concepts for Acquisition Program Managers. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada254177.

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Lasky, Jeffrey A., Alan R. Kaminsky, and Wade Boaz. Software Quality Measurement Methodology Enhancements Study Results. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada220116.

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Peters, Mary F., John M. Brozena, and J. D. Clamons. Software Design for an Airborne Gravity Measurement System. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada185000.

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