2025
Scientific journals/Article
- Chidambaram, N., Decan, A., & Mens, T. (March 2025). A Bot Identification Model and Tool Based on GitHub Activity Sequences. "Journal of Systems and Software, 221". doi:10.1016/j.jss.2024.112287
Scientific congresses and symposiums/Paper published in a book
- Chidambaram, N., & Mens, T. (2025). Observing bots in the wild: A quantitative analysis of a large open source ecosystem. In "International Workshop on Bots in Software Engineering". United States: IEEE.
2024
Scientific congresses and symposiums/Paper published in a book
- Chidambaram, N., Mens, T., & Decan, A. (2024). RABBIT: A tool for identifying bot accounts based on their recent GitHub event history. In "21st International Conference on Mining Software Repositories" (pp. 5). Lisbon, Portugal: ACM. doi:10.1145/3643991.3644877
Scientific congresses and symposiums/Paper published in a journal
- Benkedadra, M., Rimez, D., Godelaine, T., Chidambaram, N., Khosroshahi, H. R., Tellez, H., Mancas, M., Macq, B., & Mahmoudi, S. (2024). CIA: Controllable Image Augmentation Framework Based on Stable Diffusion. "IEEE Access", 600-606. doi:10.1109/mipr62202.2024.00102
2023
Scientific congresses and symposiums/Paper published in a book
- Chidambaram, N., Decan, A., & Mens, T. (2023). A Dataset of Bot and Human Activities in GitHub. In "Proceedings of the 20th International Conference on Mining Software Repositories (MSR 2023)". IEEE. doi:10.1109/MSR59073.2023.00070
Scientific congresses and symposiums/Paper published in a journal
- Chidambaram, N., Decan, A., & Mens, T. (12 June 2023). Distinguishing Bots From Human Developers Based on Their GitHub Activity Types. "CEUR Workshop Proceedings, 3483", 31-39.
2022
Scientific journals/Article
- Golzadeh, M., Mens, T., Decan, A., Constantinou, E., & Chidambaram, N. (26 May 2022). Recognizing bot activity in collaborative software development. "IEEE Software, 39" (5), 56-61. doi:10.1109/ms.2022.3178601
Scientific congresses and symposiums/Paper published in a book
- Chidambaram, N., & Rostami Mazrae, P. (2022). Bot Detection in GitHub Repositories. In "the Hackathon track of the 19th International Conference on Mining Software Repositories (MSR ’22)". ACM. doi:10.1145/3524842.3528520
- Chidambaram, N., Decan, A., & Golzadeh, M. (2022). Leveraging Predictions From Multiple Repositories to Improve Bot Detection. In "4th Workshop on Bots in Software Engineering (BotSE), IEEE/ACM ICSEW 2022". IEEE. doi:10.1145/3528228.3528403
- Golzadeh, M., Decan, A., & Chidambaram, N. (2022). On the Accuracy of Bot Detection Techniques. In "4th Workshop on Bots in Software Engineering (BotSE), IEEE/ACM ICSEW 2022". ACM. doi:10.1145/3528228.3528406