Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection

We summarize the article Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection [He22], which was published in Empirical Software Engineering in 2022.

Herbold, Steffen; Trautsch, Alexander; Trautsch, Fabian; Ledel, Benjamin (2023): Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection. Software Engineering 2023. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-726-5. pp. 63-64. Wissenschaftliches Hauptprogramm. Paderborn. 20.–24. Februar 2023

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SZZ , Bug fix labeling , Bug inducing changes , Defect prediction data , Data set

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P332 - Software Engineering 2023

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Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection

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