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 | 260 | 2017 |
Training data selection for cross-project defect prediction S Herbold Proceedings of the 9th international conference on predictive models in …, 2013 | 190 | 2013 |
Autorank: A python package for automated ranking of classifiers S Herbold Journal of Open Source Software 5 (48), 2173, 2020 | 113 | 2020 |
Calculation and optimization of thresholds for sets of software metrics S Herbold, J Grabowski, S Waack Empirical Software Engineering 16, 812-841, 2011 | 106 | 2011 |
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 | 78 | 2017 |
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, 42, 2022 | 73* | 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 | 66* | 2023 |
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 | 57 | 2022 |
Addressing problems with replicability and validity of repository mining studies through a smart data platform F Trautsch, S Herbold, P Makedonski, J Grabowski Empirical Software Engineering 23, 1036-1083, 2018 | 57 | 2018 |
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 | 45 | 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 | 43* | 2022 |
Improved bug reporting and reproduction through non-intrusive gui usage monitoring and automated replaying S Herbold, J Grabowski, S Waack, U Bünting 2011 IEEE Fourth International Conference on Software Testing, Verification …, 2011 | 39 | 2011 |
Comments on ScottKnottESD in response to" An empirical comparison of model validation techniques for defect prediction models" S Herbold IEEE Transactions on Software Engineering 43 (11), 1091-1094, 2017 | 37 | 2017 |
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 | 33 | 2020 |
On the costs and profit of software defect prediction S Herbold IEEE Transactions on Software Engineering 47 (11), 2617-2631, 2019 | 31 | 2019 |
Are unit and integration test definitions still valid for modern Java projects? An empirical study on open-source projects F Trautsch, S Herbold, J Grabowski Journal of Systems and Software 159, 110421, 2020 | 29 | 2020 |
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 | 28 | 2020 |
Crosspare: a tool for benchmarking cross-project defect predictions S Herbold 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 28 | 2015 |
A systematic mapping study of developer social network research S Herbold, A Amirfallah, F Trautsch, J Grabowski Journal of Systems and Software 171, 110802, 2021 | 27 | 2021 |
Performance tuning for automotive software fault prediction H Altinger, S Herbold, F Schneemann, J Grabowski, F Wotawa 2017 IEEE 24th International Conference on Software Analysis, Evolution and …, 2017 | 27 | 2017 |