| MLCQ: Industry-relevant code smell data set L Madeyski, T Lewowski Proceedings of the 24th International Conference on Evaluation and …, 2020 | 42 | 2020 |
| How far are we from reproducible research on code smell detection? A systematic literature review T Lewowski, L Madeyski Information and Software Technology 144, 106783, 2022 | 33 | 2022 |
| Code smells detection using artificial intelligence techniques: A business-driven systematic review T Lewowski, L Madeyski Developments in Information & Knowledge Management for Business Applications …, 2022 | 33 | 2022 |
| Detecting code smells using industry-relevant data L Madeyski, T Lewowski Information and Software Technology 155, 107112, 2023 | 18 | 2023 |
| Creating evolving project data sets in software engineering T Lewowski, L Madeyski Integrating Research and Practice in Software Engineering, 1-14, 2020 | 10 | 2020 |
| Reproducer: reproduce statistical analyses and meta-analyses L Madeyski, B Kitchenham, T Lewowski URL http://madeyski. e-informatyka. pl/reproducible-research, R package …, 2015 | 9 | 2015 |
| OECD Recommendation’s draft concerning access to research data from public funding: A review L Madeyski, T Lewowski, B Kitchenham Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 | 2 | 2021 |
| Mutants as Patches: Towards a formal approach to Mutation Testing T Lewowski, L Madeyski Foundations of Computing and Decision Sciences 44 (4), 379-405, 2019 | 2 | 2019 |
| Solving the failing track marker problem in automated guided vehicle systems–a case study T Lewowski Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 10, 2020 | 1 | 2020 |
| An online appendix for the paper” MLCQ: Industry-relevant code smell data set” by Madeyski and Lewowski (MLCQ: Datasheet) T Lewowski | | 2020 |
| Efficient Testing of Time-Dependent, Asynchronous Code T Lewowski Towards a Synergistic Combination of Research and Practice in Software …, 2018 | | 2018 |
