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Explainable Ai Framework for Software Defect Prediction
Journal of Software: Evolution and ProcessABSTRACTSoftware engineering plays a critical role in improving the quality of software systems, because identifying and correcting defects is one of the most expensive tasks in software development life cycle. For instance, determining whether a software product still has defects before distributing it is crucial.
Bahar Gezici Geçer +1 more
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Software defect prediction using neural networks
Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization, 2014Defect severity assessment is the most crucial step in large industries and organizations where the complexity of the software is increasing at an exponential rate. Assigning the correct severity level to the defects encountered in large and complex software, would help the software practitioners to allocate their resources and plan for subsequent ...
Rajni Jindal +2 more
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Software Defect Prediction for LSI Designs
2014 IEEE International Conference on Software Maintenance and Evolution, 2014While mining software repositories is a field which has greatly grown over the last ten years, Large Scale Integrated circuit (LSI) design repository mining has yet to reach the momentum of software's. We felt that it represents untouched potential especially for defect prediction.
Matthieu Parizy +2 more
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METRIC SELECTION FOR SOFTWARE DEFECT PREDICTION
International Journal of Software Engineering and Knowledge Engineering, 2011Real-world software systems are becoming larger, more complex, and much more unpredictable. Software systems face many risks in their life cycles. Software practitioners strive to improve software quality by constructing defect prediction models using metric (feature) selection techniques.
HUANJING WANG +3 more
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SOFTWARE DEFECT PREDICTION APPROACHES REVISITED
International Journal of Intelligent Computing and Information Sciences, 2023Khaled Shebl, Yasmine Afify, Nagwa Badr
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Intelligent Software Defect Prediction
2023Xiao-Yuan Jing, Haowen Chen, Baowen Xu
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Progress in Automated Software Defect Prediction
2009We have designed and implemented a tool that predicts files most likely to have defects in a future release of a large software system. The tool builds a regression model based on the version and defect history of the system, and produces a list of the next release's most probable fault-prone files, sorted in decreasing order of the number of predicted
Thomas J. Ostrand, Elaine J. Weyuker
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Learning based Software Defect Prediction
International Journal of Computational Intelligence Research (IJCIR), 2023openaire +1 more source
Software Defect Prediction using ANN Algorithm
2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2023B. Maruthi Shankar +5 more
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A Systematic Survey of Just-in-Time Software Defect Prediction
ACM Computing Surveys, 2023Yunhua Zhao +2 more
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