Results 11 to 20 of about 155,165 (287)
A Framework for Software Defect Prediction and Metric Selection
IEEE Access, 2018 Automated software defect prediction is an important and fundamental activity in the domain of software development. However, modern software systems are inherently large and complex with numerous correlated metrics that capture different aspects of the ...
Shamsul Huda +6 more
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IEEE Access, 2023 In the traditional software defect prediction methodology, the historical record (dataset) of the same project is partitioned into training and testing data.
Yahaya Zakariyau Bala +3 more
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Software fault prediction based on change metrics using hybrid algorithms: An empirical study
Journal of King Saud University: Computer and Information Sciences, 2020 Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and ...
Wasiur Rhmann +3 more
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Assessing practitioner beliefs about software defect prediction [PDF]
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice, 2020 Just because software developers say they believe in "X", that does not necessarily mean that "X" is true. As shown here, there exist numerous beliefs listed in the recent Software Engineering literature which are only supported by small portions of the available data. Hence we ask what is the source of this disconnect between beliefs and evidence?. To
Shrikanth, N. C., Menzies, Tim
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Applied Sciences, 2022 Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes.
Mahesha Pandit +7 more
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Cost Sensitive Boosting Software Defect Prediction Method [PDF]
Jisuanji gongcheng, 2022 Software defect prediction can effectively improve the reliability of software and remedy the loopholes in a system.Boosting resampling is a common method for solving the problem of insufficient software defect prediction samples.However, the ...
LI Li, REN Zhenkang, SHI Kexin
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Defect prediction guided search-based software testing [PDF]
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020 Today, most automated test generators, such as search-based software testing (SBST) techniques focus on achieving high code coverage. However, high code coverage is not sufficient to maximise the number of bugs found, especially when given a limited testing budget.
Perera, Anjana +3 more
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Machine Learning Empowered Software Prediction System
Wasit Journal of Computer and Mathematics Science, 2022 Prediction of software defects is one of the most active study fields in software engineering today. Using a defect prediction model, a list of code prone to defects may be compiled. Using a defect prediction model, software may be made more reliable by
Abdul Syukor Mohamad
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Software Defect Association Mining and Defect Correction Effort Prediction [PDF]
, 2006 Much current software defect prediction work concentrates on the number of defects remaining in software system. In this paper, we present association rule mining based methods to predict defect associations and defect-correction effort.
Cartwright, MH +3 more
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Explainable Comparison of Software Defect Prediction Models [PDF]
Jisuanji kexue, 2023 Software defect prediction has become an important research direction in software testing.The comprehensiveness of defect prediction directly affects the efficiency of testing and program operation.However,the existing defect prediction is based on ...
LI Huilai, YANG Bin, YU Xiuli, TANG Xiaomei
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