Littérature scientifique sur le sujet « Software metrics »

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Articles de revues sur le sujet "Software metrics"

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Jiang, Bo, Jiaye Cen, Erluan Zhu, and Jiale Wang. "Software technical debt prediction based on complex software networks." PLOS One 20, no. 6 (2025): e0323672. https://doi.org/10.1371/journal.pone.0323672.

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Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the literature, many machine-learning based TDP models have been proposed; they used TD-related metrics as input features for machine-learning classifiers to build TDP models. However, their performance is unsatisfactory. Developing and utilizing more effective metrics to build TDP models is considered as a promising approach to enhance the performance of TDP models. Social Network Analysis (SNA) uses a set of metrics (i.e., SNA metrics) to characterize software elements (classes, binaries, etc.) in so
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MATSUMOTO, Ken-ichi. "Software Metrics." Journal of Japan Society for Fuzzy Theory and Systems 10, no. 5 (1998): 796–803. http://dx.doi.org/10.3156/jfuzzy.10.5_34.

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Kaur, Sandeep. "Software Metrics and Metric Tools A Review." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 4 (2015): 2076–79. http://dx.doi.org/10.17762/ijritcc2321-8169.150468.

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Y, Dinesh Kumar, and Nuka Raju Kolli. "Novel Metrics in Software Industry." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (2017): 1252–58. http://dx.doi.org/10.31142/ijtsrd8215.

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Leach, Ronald J. "Software metrics and software maintenance." Journal of Software Maintenance: Research and Practice 2, no. 2 (1990): 133–42. http://dx.doi.org/10.1002/smr.4360020204.

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Xiang, Yiming, Weifeng Pan, Haibo Jiang, Yunfang Zhu, and Hao Li. "Measuring Software Modularity Based on Software Networks." Entropy 21, no. 4 (2019): 344. http://dx.doi.org/10.3390/e21040344.

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Modularity has been regarded as one of the most important properties of a successful software design. It has significant impact on many external quality attributes such as reusability, maintainability, and understandability. Thus, proposing metrics to measure the software modularity can be very useful. Although several metrics have been proposed to characterize some modularity-related attributes, they fail to characterize software modularity as a whole. A complex network uses network models to abstract the internal structure of complex systems, providing a general way to analyze complex system
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Patel, Durga, and Pallavi P. "Software Reliability: Metrics." International Journal of Computer Applications 156, no. 5 (2016): 9–15. http://dx.doi.org/10.5120/ijca2016912433.

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Li, W. "Software product metrics." IEEE Potentials 18, no. 5 (2000): 24–27. http://dx.doi.org/10.1109/45.807276.

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Meneely, Andrew, Ben Smith, and Laurie Williams. "Validating software metrics." ACM Transactions on Software Engineering and Methodology 21, no. 4 (2012): 1–28. http://dx.doi.org/10.1145/2377656.2377661.

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Ince, D. "Software metrics: introduction." Information and Software Technology 32, no. 4 (1990): 297–303. http://dx.doi.org/10.1016/0950-5849(90)90063-w.

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Thèses sur le sujet "Software metrics"

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Smith, Mary Lou. "Assessing software metrics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38410.pdf.

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BATISTA, CARLOS FREUD ALVES. "SOFTWARE SECURITY METRICS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10990@1.

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PETRÓLEO BRASILEIRO S. A.<br>A dependência cada vez maior da tecnologia de informação (TI) torna software seguro um elemento chave para a continuidade dos serviços de nossa sociedade atual. Nos últimos anos, instituições públicas e privadas aumentaram seus investimentos em segurança da informação, mas a quantidade de ataques vem crescendo mais rapidamente do que a nossa capacidade de poder enfrentálos, colocando em risco a propriedade intelectual, a relação de confiança de clientes e a operação de serviços e negócios apoiados pelos serviços de TI. Especialistas em segurança afirmam que
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Singh, Rajat. "Software Metrics Tool." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/29766.

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In the current world software applications are becoming more important with each passing day. They are present in all walks of life and it?s difficult to imagine a world without them. It?s a part of every known industry whether it be manufacturing, healthcare, financing. They are available on all forms in personal laptops, mobiles, and tablets. However, there is another challenging task to figure out the quality of the software. There are multiple measures available in the form of software metrics. The objective of this thesis is to present an extensible software for calculating software metri
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Coppick, John. "Software Metrics for Object-Oriented Software." TopSCHOLAR®, 1990. http://digitalcommons.wku.edu/theses/1920.

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Within this thesis the application of software complexity metrics in the object-oriented paradigm is examined. Several factors which may affect the complexity of software objects are identified and discussed. The specific applications of Maurice Halstead’s Software Science and Thomas McCabe’s cyclomatic-complexity metric are discussed in detail. The goals here are to identify methods for applying existing software metrics to objects and to provide a basis of analysis for future studies of the measurement and control of software complexity in the object-oriented paradigm of software development
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Liu, Xiaowei. "Object-oriented software metrics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0013/MQ41734.pdf.

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Datar, Ranjani Milind. "Metrics for software reuse." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/958791.

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A major reengineering goal is software reuse. Effective reuse of knowledge, processes and products from previous software developments can reduce costs and increase both productivity and quality in software projects.This thesis extensively tests five projects produced by the graduate software engineering class at Ball State University. Each project has the same set of requirements.Each project is also analyzed based on subjective criteria, for example documentation, use of mnemonics for variable names and ease of understanding. Based on the outcome of testing and subjective analysis, reusable
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Kwan, Pak Leung. "Design metrics forensics : an analysis of the primitive metrics in the Zage design metrics." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897490.

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The Software Engineering Research Center (SERC) Design Metrics Research Team at Ball State University has developed a design metric D(G) of the form:D(G) = D~ + DiWhere De is the architectural design metric (external design metric) and D; is the detailed design metric (internal design metric).Questions to be investigated in this thesis are:Why can D, be an indicator of the potential error modules?Why can D; be an indicator of the potential error modules?Are there any significant factors that dominate the design metrics?In this thesis, the report of the STANFINS data is evaluated by using corre
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Hingane, Amruta Laxman. "A POT of Software Metrics: A Physiological Overturn of Technology of Software Metrics." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1227118085.

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Hingane, Amruta. "A POT of software metrics a physiological overturn of technology of software metrics /." [Kent, Ohio] : Kent State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1227118085.

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Thesis (M.S.)--Kent State University, 2008.<br>Title from PDF t.p. (viewed Jan. 21, 2010). Advisor: Austin Melton. Keywords: Software metrics; comparison; classical measurement. Includes bibliographical references (p. 89-93).
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Lim, Edwin C. "Software metrics for monitoring software engineering projects." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1994. https://ro.ecu.edu.au/theses/1100.

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As part of the undergraduate course offered by Edith Cowan University, the Department of Computer Science has (as part of a year's study) a software engineering group project. The structure of this project was divided into two units, Software Engineering l and Software Engineering 2. ln Software Engineering 1, students were given the group project where they had to complete and submit the Functional Requirement and Detail System Design documentation. In Software Engineering 2, students commenced with the implementation of the software, testing and documentation. The software was then submitted
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Livres sur le sujet "Software metrics"

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Lehner, Franz, Reiner Dumke, and Alain Abran, eds. Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0.

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Schneidewind, Norman F. Validating software metrics. Naval Postgraduate School, 1990.

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W, Oman Paul, and Pfleeger Shari Lawrence, eds. Applying software metrics. IEEE Computer Society Press, 1997.

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Martin, Shepperd, ed. Software engineering metrics. McGraw-Hill, 1993.

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1959-, Shepperd Martin, ed. Software engineering metrics. McGraw-Hill Book Co., 1993.

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Abran, Alain. Software Metrics and Software Metrology. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470606834.

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library, Wiley online, ed. Software metrics and software metrology. Wiley, 2010.

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1956-, Fenton Norman E., and Littlewood B, eds. Software reliability and metrics. Elsevier Applied Science, 1991.

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Adamov, Rade. Literature review on software metrics. Institut für Informatik der Universität Zürich, 1987.

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Adamov, Rade. Literature review on software metrics. Angewandte InformationsTechnik, 1989.

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Chapitres de livres sur le sujet "Software metrics"

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O’Regan, Gerard. "Software Metrics Software Metrics." In Introduction to Software Quality. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06106-1_10.

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Hubig, Roland, and Ivan Morschel. "Quality and Productivity Improvement in Object-Oriented Software Development." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_1.

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Zuse, Horst. "The Software Measure Information System ZD-MIS." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_10.

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Houdek, Frank. "Software Quality Improvement by using an Experience Factory." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_11.

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Desharnais, Jean-Marc, and Pam Morris. "Validation Process in Software Engineering: An example with Function Point." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_12.

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Ebert, Christof. "Applying Knowledge-Based Techniques to Software Quality Management." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_13.

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Mittelmann, Angelika. "Implementation of a Measurement Plan in an Industrial Environment." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_14.

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Hitz, Martin, and Sabine Stiller. "Automatic Extraction of Object-Oriented Software Metrics." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_2.

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Dumke, Reiner R. "Really Object-Oriented Software Metrics." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_3.

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Fetcke, Thomas, Alain Abran, and Tho-Hau Nguyen. "Mapping the OO-Jacobson Approach to Function Point Analysis." In Software Metrics. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-322-99929-0_4.

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Actes de conférences sur le sujet "Software metrics"

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Aluthwaththage, J. H., and H. A. N. N. Thathsarani. "Beyond Traditional Metrics: Advancing Software Complexity Analysis with the ACB Metric." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724880.

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Fenton, Norman E., and Martin Neil. "Software metrics." In the conference. ACM Press, 2000. http://dx.doi.org/10.1145/336512.336588.

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Mellon, Austin. "Software metrics." In the 1992 ACM annual conference. ACM Press, 1992. http://dx.doi.org/10.1145/131214.131290.

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"Proceedings Seventh International Software Metrics Symposium." In Proceedings Seventh International Software Metrics Symposium. METRICS 2001. IEEE, 2001. http://dx.doi.org/10.1109/metric.2001.915509.

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"11th IEEE International Software Metrics Symposium - Cover." In 11th IEEE International Software Metrics Symposium (METRICS'05). IEEE, 2005. http://dx.doi.org/10.1109/metrics.2005.1.

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Honglei, Tu, Sun Wei, and Zhang Yanan. "The Research on Software Metrics and Software Complexity Metrics." In 2009 International Forum on Computer Science-Technology and Applications. IEEE, 2009. http://dx.doi.org/10.1109/ifcsta.2009.39.

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"11th IEEE International Software Metrics Symposium - Table of Contents." In 11th IEEE International Software Metrics Symposium (METRICS'05). IEEE, 2005. http://dx.doi.org/10.1109/metrics.2005.2.

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Motta, Rebeca, Mario Bonicenha, Claudia Susie Rodrigues, and Cláudia Werner. "MetricRA: Learning Software Metrics through Augmented Reality." In XXVI Workshop sobre Educação em Computação. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/wei.2018.3508.

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Augmented reality creates a bridge between virtual and real world, providing stimulating resources for different purposes. This technology enables new teaching possibilities since it can bring more abstract concepts into reality and put the knowledge related to several areas, such as Software Engineering, into practice. MetricRA is a tool developed to help Software Engineering students to understand Cohesion and Coupling metrics. The solution was implemented with Augmented Reality technology, where the user can control a class diagram to observe the metrics transformation. This article describ
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Schultz, Herman P. "Software Reporting Metrics." In IEEE Military Communications Conference MILCOM 1986. IEEE, 1986. http://dx.doi.org/10.1109/milcom.1986.4805750.

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Ram, Prabhat, Pilar Rodríguez, Markku Oivo, et al. "Actionable Software Metrics." In EASE '20: Evaluation and Assessment in Software Engineering. ACM, 2020. http://dx.doi.org/10.1145/3383219.3383244.

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Rapports d'organisations sur le sujet "Software metrics"

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Mills, Everald E. Software Metrics. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada236140.

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Schultz, Herman P. Software Management Metrics. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada196916.

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Budlong, Faye, and Judi Peterson. Software Metrics Capability Evaluation Guide,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada325385.

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Coles, R. J., J. A. Kasputys, K. L. Lasko, T. F. Saunders, and H. P. Schultz. Software Reporting Metrics. Revision 2. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada163756.

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10166209.

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7233625.

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Kurt G. Vedros. SAPHIRE 8 Quality Assurance Software Metrics Report. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1031699.

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Grable, Ross. Software Metrics for Total Development Cycle Evaluation. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada246477.

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Austin, Robert A., John M. Case, and Jr. Software Metrics Useful Tools or Wasted Measurements. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229951.

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Agresti, William, Joseph P. Cavano, Robert Converse, and Janet Dunham. Proceedings of the TTCP Workshop on Software Metrics. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada258756.

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