Model analytics for defect prediction based on design-level metrics and sampling techniques
Aydin Kayaa; Ali Seydi Kecelia; Cagatay Catalb; Bedir Tekinerdoganb aDepartment of Computer Engineering, Hacettepe University, Ankara, TurkeybInformation Technology Group, Wageningen University, Wageningen, The Netherlands
Predicting software defects in the early stages of the software development life cycle, such as the design and requirement analysis phase, provides significant economic advantages for software companies. Model analytics for defect prediction lets quality assurance groups build prediction models earlier and predict the defect-prone components before the testing phase for in-depth testing. In this study, we demonstrate ...
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