48 citations · 61 across the 6 of their papers we have counts for
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cs.SE2020★ 1 cited
Leveraging the Defects Life Cycle to Label Affected Versions and Defective Classes
Bailey Vandehei, Daniel Alencar da Costa, Davide Falessi
Two recent studies explicitly recommend labeling defective classes in releases using the affected versions (AV) available in issue trackers. The aim our study is threefold: 1) to m…
cs.SE2020
On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models
Aalok Ahluwalia, Massimiliano Di Penta, Davide Falessi
To develop and train defect prediction models, researchers rely on datasets in which a defect is attributed to an artifact, e.g., a class of a given release. However, the creation…