Results 11 to 20 of about 526 (209)
On Software Defect Prediction Using Machine Learning
Journal of Applied Mathematics, 2014 This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction.
Jinsheng Ren +3 more
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On the Costs and Profit of Software Defect Prediction [PDF]
IEEE Transactions on Software Engineering, 2021 Under Review (minor revision)
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Software defect prediction via LSTM [PDF]
IET Software, 2020 Software quality plays an important role in the software lifecycle. Traditional software defect prediction approaches mainly focused on using hand‐crafted features to detect defects. However, like human languages, programming languages contain rich semantic and structural information, and the cause of defective code is closely related to its context ...
Jiehan Deng, Lu Lu 0011, Shaojian Qiu
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Predicting software defects with causality tests [PDF]
Journal of Systems and Software, 2014 Abstract In this paper, we propose a defect prediction approach centered on more robust evidences towards causality between source code metrics (as predictors) and the occurrence of defects. More specifically, we rely on the Granger causality test to evaluate whether past variations in source code metrics values can be used to forecast changes in ...
César Couto +4 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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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 Prediction with Bayesian Approaches
Mathematics, 2023 Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
María José Hernández-Molinos +4 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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On the use of deep learning in software defect prediction
Journal of Systems and Software, 2023 45 pages, 12 ...
Görkem Giray +4 more
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Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering
IET Software, 2023 Just‐In‐Time (JIT) defect prediction aims to predict the defect proneness of software changes when they are initially submitted. It has become a hot topic in software defect prediction due to its timely manner and traceability.
Huan Zhang +4 more
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