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Benjamin Ledel
Benjamin Ledel
Digital Learning GmbH
在 stud.uni-goettingen.de 的电子邮件经过验证
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引用次数
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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 Engineering 27 (2), 42, 2022
83*2022
A fine-grained data set and analysis of tangling in bug fixing commits
S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ...
Empirical Software Engineering 27 (6), 125, 2022
442022
The smartshark ecosystem for software repository mining
A Trautsch, F Trautsch, S Herbold, B Ledel, J Grabowski
Proceedings of the ACM/IEEE 42nd international conference on software …, 2020
282020
Large-scale manual validation of bug fixing commits: A fine-grained analysis of tangling
S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ...
arXiv preprint arXiv:2011.06244, 2020
102020
Large-scale manual validation of bugfixing changes
S Herbold, A Trautsch, B Ledel
Proceedings of the 17th International Conference on Mining Software …, 2020
92020
Studying the explanations for the automated prediction of bug and non-bug issues using lime and shap
B Ledel, S Herbold
arXiv preprint arXiv:2209.07623, 2022
62022
Broccoli: Bug localization with the help of text search engines
B Ledel, S Herbold
arXiv preprint arXiv:2109.11902, 2021
52021
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
L Schulte, B Ledel, S Herbold
Empirical Software Engineering 29 (4), 93, 2024
32024
Sicherer Einsatz von xAI in der Bildung: Erkennung von LLM-Halluzinationen bei der Generierung von Lehr-und Lernmaterialien
B Ledel, T Schwarz
Proceedings of DELFI 2024, 10.18420/delfi2024_50, 2024
2024
Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection
S Herbold, A Trautsch, F Trautsch, B Ledel
Gesellschaft für Informatik eV, 2023
2023
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