| A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments M Golzadeh, A Decan, D Legay, T Mens Journal of Systems and Software 175, 110911, 2021 | 90 | 2021 |
| Bot or not? Detecting bots in GitHub pull request activity based on comment similarity M Golzadeh, D Legay, A Decan, T Mens Proceedings of the IEEE/ACM 42nd international conference on software …, 2020 | 35 | 2020 |
| On the impact of pull request decisions on future contributions D Legay, A Decan, T Mens arXiv preprint arXiv:1812.06269, 2018 | 10 | 2018 |
| On package freshness in linux distributions D Legay, A Decan, T Mens 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 9 | 2020 |
| On the Usage of Badges in Open Source Packages on GitHub. D Legay, A Decan, T Mens BENEVOL, 2019 | 3 | 2019 |
| A Quantitative Assessment of Package Freshness in Linux Distributions D Legay, A Decan, T Mens 2021 IEEE/ACM 4th International Workshop on Software Health in Projects …, 2021 | 1 | 2021 |
| A mixed-method approach to analysing package freshness in Linux distributions D Legay, A Decan, T Mens Belgium-Netherlands Software Evolution Workshop (BENEVOL), 2020 | | 2020 |
| SoHeal 2021 D Legay, A Decan, T Jansen, Z Abou Khalil, E Constantinou | | |
Tom MensFull Professor in Computing Science, Faculty of Sciences, University of Mons在 umons.ac.be 的电子邮件经过验证
