| A large-scale study of call graph-based impact prediction using mutation testing V Musco, M Monperrus, P Preux Software Quality Journal 25, 921-950, 2017 | 25 | 2017 |
| Mutation-Based Graph Inference for Fault Localization V Musco, M Monperrus, P Preux International Working Conference on Source Code Analysis and Manipulation, 2016 | 10 | 2016 |
| A learning algorithm for change impact prediction V Musco, A Carette, M Monperrus, P Preux Proceedings of the 5th International Workshop on Realizing Artificial …, 2016 | 10 | 2016 |
| A learning algorithm for change impact prediction V Musco, A Carette, M Monperrus, P Preux Proceedings of the 5th International Workshop on Realizing Artificial …, 2016 | 10 | 2016 |
| A generative model of software dependency graphs to better understand software evolution V Musco, M Monperrus, P Preux arXiv preprint arXiv:1410.7921, 2014 | 10 | 2014 |
| Statistically rigorous testing of clustering implementations X Yin, V Musco, I Neamtiu, U Roshan 2019 IEEE International Conference On Artificial Intelligence Testing …, 2019 | 9 | 2019 |
| Smokeout: An approach for testing clustering implementations V Musco, X Yin, I Neamtiu 2019 12th IEEE Conference on Software Testing, Validation and Verification …, 2019 | 7 | 2019 |
| A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications V Musco, A Carette, M Monperrus, P Preux | 4 | 2015 |
| Propagation Analysis based on Software Graphs and Synthetic Data V Musco Université de Lille, 2016 | 1* | 2016 |
| An experimental protocol for analyzing the accuracy of software error impact analysis V Musco, M Monperrus, P Preux 2015 IEEE/ACM 10th International Workshop on Automation of Software Test, 60-64, 2015 | | 2015 |
| Docteur de l’Université Lille III V Musco | | |
