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Software defect prediction: future directions and challenges
Automated Software EngineeringXiao-Yuan Jing, Jing Xiao-Yuan
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Survey of software defect prediction features
Neural Computing and ApplicationsShaoming Qiu +3 more
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Predicting Defectiveness of Software Patches
Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016Context: Software code review, as an engineering best practice, refers to the inspection of the code change in order to find possible defects and ensure change quality. Code reviews, however, may not guarantee finding the defects. Thus, there is a risk for a defective code change in a given patch, to pass the review process and be submitted.Goal: In ...
Behjat Soltanifar +2 more
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On the relation of refactorings and software defect prediction
Proceedings of the 2008 international working conference on Mining software repositories, 2008This paper analyzes the influence of evolution activities such as refactoring on software defects. In a case study of five open source projects we used attributes of software evolution to predict defects in time periods of six months. We use versioning and issue tracking systems to extract 110 data mining features, which are separated into refactoring ...
Ratzinger, J, Sigmund, T, Gall, H C
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A research landscape on software defect prediction
Journal of Software: Evolution and Process, 2023AbstractSoftware defect prediction is the process of identifying defective files and modules that need rigorous testing. In the literature, several secondary studies including systematic reviews, mapping studies, and review studies have been reported.
Anam Taskeen +2 more
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A defect prediction method for software versioning
Software Quality Journal, 2008New methodologies and tools have gradually made the life cycle for software development more human-independent. Much of the research in this field focuses on defect reduction, defect identification and defect prediction. Defect prediction is a relatively new research area that involves using various methods from artificial intelligence to data mining ...
Yomi Kastro, Ayse Basar Bener
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A Systematic Survey of Just-in-Time Software Defect Prediction
ACM Computing Surveys, 2022Recent years have experienced sustained focus in research on software defect prediction that aims to predict the likelihood of software defects. Moreover, with the increased interest in continuous deployment, a variant of software defect prediction ...
Yunhua Zhao, Kostadin Damevski, Hui Chen
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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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Mobile Application Software Defect Prediction
2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), 2016The increasing number of user of mobile application, it is needed to check mobile applications that contains defect or not. I proposed a SVM method in comparison with CART and Test Metrics to classify classes in application. It shows that SVM method has better result in terms of precision and accuracy.
Michael Yoseph Ricky +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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