[HTML] springer.com

[HTML][HTML] Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch, F Trautsch, B Ledel - Empirical Software …, 2022 - Springer
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …
被引用次数：43 相关文章

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

S Herbold, A Trautsch, F Trautsch, B Ledel - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Context: The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …

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

S Herbold, A Trautsch, F Trautsch, B Ledel - arXiv preprint arXiv …, 2019 - arxiv.org
Context: The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …
[PDF] core.ac.uk

[PDF][PDF] Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch, F Trautsch, B Ledel - Empirical Software …, 2022 - core.ac.uk
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …

Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch, F Trautsch, B Ledel - Empirical Software …, 2022 - dl.acm.org
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …
[PDF] tu-clausthal.de

[PDF][PDF] Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch… - Empirical Software …, 2022 - dokumente.ub.tu-clausthal.de
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …
[PDF] archive.org

[PDF][PDF] Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch, F Trautsch, B Ledel - 2021 - scholar.archive.org
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …

Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

H Steffen, T Alexander, T Fabian… - Empirical Software …, 2022 - search.proquest.com
Objective We provide an empirical analysis of the defect labels created with the SZZ
algorithm and the impact of commonly used features on results. Method We used a …

Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch, F Trautsch, B Ledel - 2022 - publications.goettingen-research …
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …

Problems with SZZ and features: an empirical study of the state of practice of defect prediction data collection

S Herbold, A Trautsch… - Empirical software …, 2022 - dokumente.ub.tu-clausthal.de
Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and
finding inducing changes for defect prediction data. Recent research uncovered potential …