Stability of Software Defect Prediction in Relation to Levels of Data Imbalance

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Provided by: University of York Students' Union
Topic: Data Management
Format: PDF
Software defect prediction is an important decision support activity in software quality assurance. Its goal is reducing verification costs by predicting the system modules that are more likely to contain defects, thus enabling more efficient allocation of resources in verification process. The problem is that there is no widely applicable well performing prediction method. The main reason is in the very nature of software datasets, their imbalance, complexity and properties dependent on the application domain.
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