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Leveraging Defects Life-Cycle For Labeling Defective Classes, Bailey R. Vandehei
Leveraging Defects Life-Cycle For Labeling Defective Classes, Bailey R. Vandehei
Master's Theses
Data from software repositories are a very useful asset to building dierent kinds of
models and recommender systems aimed to support software developers. Specically,
the identication of likely defect-prone les (i.e., classes in Object-Oriented systems)
helps in prioritizing, testing, and analysis activities. This work focuses on automated
methods for labeling a class in a version as defective or not. The most used methods
for automated class labeling belong to the SZZ family and fail in various circum-
stances. Thus, recent studies suggest the use of aect version (AV) as provided by
developers and available in the issue tracker such as …