| A comparative study to benchmark cross-project defect prediction approaches S Herbold, A Trautsch, J Grabowski IEEE Transactions on Software Engineering 44 (9), 811-833, 2017 | 248 | 2017 |
| Global vs. local models for cross-project defect prediction: A replication study S Herbold, A Trautsch, J Grabowski Empirical software engineering 22, 1866-1902, 2017 | 82 | 2017 |
| On the validity of pre-trained transformers for natural language processing in the software engineering domain J Von der Mosel, A Trautsch, S Herbold IEEE Transactions on Software Engineering 49 (4), 1487-1507, 2022 | 58 | 2022 |
| A large-scale comparison of human-written versus ChatGPT-generated essays S Herbold, A Hautli-Janisz, U Heuer, Z Kikteva, A Trautsch Scientific Reports 13 (1), 18617, 2023 | 57 | 2023 |
| 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 | 43 | 2022 |
| On the feasibility of automated prediction of bug and non-bug issues S Herbold, A Trautsch, F Trautsch Empirical Software Engineering 25, 5333-5369, 2020 | 41 | 2020 |
| 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 | 34 | 2022 |
| A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects A Trautsch, S Herbold, J Grabowski Empirical Software Engineering 25 (6), 5137-5192, 2020 | 34 | 2020 |
| Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection S Herbold, A Trautsch, F Trautsch, B Ledel arXiv preprint arXiv:1911.08938, 2019 | 33 | 2019 |
| Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction A Trautsch, S Herbold, J Grabowski 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 30 | 2020 |
| AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays S Herbold, A Hautli-Janisz, U Heuer, Z Kikteva, A Trautsch arXiv preprint arXiv:2304.14276, 2023 | 25 | 2023 |
| 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 | 24 | 2020 |
| What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes A Trautsch, J Erbel, S Herbold, J Grabowski Empirical Software Engineering 28 (2), 30, 2023 | 10 | 2023 |
| MSR Mining Challenge: The SmartSHARK Repository Mining Data A Trautsch, F Trautsch, S Herbold arXiv preprint arXiv:2102.11540, 2021 | 10 | 2021 |
| 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 | 9 | 2020 |
| Large-Scale Manual Validation of Bugfixing Changes S Herbold, A Trautsch, B Ledel Proceedings of the 17th International Conference on Mining Software …, 2020 | 9 | 2020 |
| Predicting issue types with sebert A Trautsch, S Herbold 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software …, 2022 | 8 | 2022 |
| Effects of automated static analysis tools: a multidimensional view on quality evolution A Trautsch 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 3 | 2019 |
| Are automated static analysis tools worth it? An investigation into relative warning density and external software quality A Trautsch, S Herbold, J Grabowski arXiv preprint arXiv:2111.09188, 2021 | 2 | 2021 |
| [Journal First] A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches S Herbold, A Trautsch, J Grabowski 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE …, 2018 | 2 | 2018 |
