| 2024 | ICSE | On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. | Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams |
| 2024 | ICSE | Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact. | Gengyi Sun, Mehran Meidani, Sarra Habchi, Mathieu Nayrolles, Shane McIntosh |
| 2022 | ICSE | Towards language-independent Brown Build Detection. | Doriane Olewicki, Mathieu Nayrolles, Bram Adams |
| 2018 | ICSE | A Project on Software Defect Prevention at Commit-Time: A Success Story of University-Industry Research Collaboration. | Wahab Hamou-Lhadj, Mathieu Nayrolles |
| 2018 | ICSE | Towards a classification of bugs to facilitate software maintainability tasks. | Mathieu Nayrolles, Abdelwahab Hamou-Lhadj |
| 2018 | ISSRE | An Approach for Predicting Bug Report Fields Using a Neural Network Learning Model. | Korosh Koochekian Sabor, Mathieu Nayrolles, Abdelaziz Trabelsi, Abdelwahab Hamou-Lhadj |
| 2018 | MSR | CLEVER: combining code metrics with clone detection for just-in-time fault prevention and resolution in large industrial projects. | Mathieu Nayrolles, Abdelwahab Hamou-Lhadj |
| 2013 | ICSOC | Soda: A Tool Support for the Detection of SOA Antipatterns. | Mathieu Nayrolles, Francis Palma, Naouel Moha, Yann-Gal Guhneuc |
| 2012 | ICSOC | Specification and Detection of SOA Antipatterns. | Naouel Moha, Francis Palma, Mathieu Nayrolles, Benjamin Joyen Conseil, Yann-Gal Guhneuc, Benoit Baudry, Jean-Marc Jzquel |