Khanfir, A. (2023). TARGETED, REALISTIC AND NATURAL FAULT INJECTION : (USING BUG REPORTS AND GENERATIVE LANGUAGE MODELS) [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54821 |
Ojdanic, M., Khanfir, A., Garg, A., Degiovanni, R. G., Papadakis, M., & Le Traon, Y. (2023). On Comparing Mutation Testing Tools through Learning-based Mutant Selection. In On Comparing Mutation Testing Tools through Learning-based Mutant Selection (pp. 10). doi:10.1109/AST58925.2023.00008 Peer reviewed |
Ojdanic, M., Garg, A., Khanfir, A., Degiovanni, R. G., Papadakis, M., & Le Traon, Y. (2023). Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/49190. doi:10.1109/TSE.2023.3277564 |
Khanfir, A., Jimenez, M., Papadakis, M., & Le Traon, Y. (2022). CODEBERT-NT: code naturalness via CodeBERT. 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS'22). doi:10.1109/QRS57517.2022.00098 Peer reviewed |
Souani, B., Khanfir, A., BARTEL, A., Allix, K., & Le Traon, Y. (2022). Android Malware Detection Using BERT. In Z. Jianying, Applied Cryptography and Network Security Workshops (pp. 575–591). Berlin, Germany: Springer. doi:10.1007/978-3-031-16815-4_31 Peer reviewed |
Khanfir, A., Koyuncu, A., Papadakis, M., Cordy, M., Bissyande, T. F. D. A., Klein, J., & Le Traon, Y. (2022). iBiR: Bug Report driven Fault Injection. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3542946 Peer Reviewed verified by ORBi |
PETIT, B., Khanfir, A., Soremekun, E., Perrouin, G., & Papadakis, M. (2022). IntJect: Vulnerability Intent Bug Seeding. In 22nd IEEE International Conference on Software Quality, Reliability, and Security. Peer reviewed |
Bonnaventure, W., Khanfir, A., BARTEL, A., Papadakis, M., & Le Traon, Y. (2021). CONFUZZION: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities. In IEEE International Conference on Software Quality, Reliability, and Security (QRS), 2021. Peer reviewed |