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 |