| Lost in translation: A study of bugs introduced by large language models while translating code R Pan, AR Ibrahimzada, R Krishna, D Sankar, LP Wassi, M Merler, ... Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 23* | 2024 |
| Perfect is the enemy of test oracle AR Ibrahimzada, Y Varli, D Tekinoglu, R Jabbarvand Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 18 | 2022 |
| Leti: Learning to generate from textual interactions X Wang, H Peng, R Jabbarvand, H Ji arXiv preprint arXiv:2305.10314, 2023 | 16 | 2023 |
| White-box compiler fuzzing empowered by large language models C Yang, Y Deng, R Lu, J Yao, J Liu, R Jabbarvand, L Zhang arXiv preprint arXiv:2310.15991, 2023 | 9 | 2023 |
| Automated Bug Generation in the era of Large Language Models AR Ibrahimzada, Y Chen, R Rong, R Jabbarvand arXiv preprint arXiv:2310.02407, 2023 | 5 | 2023 |
| CodeMind: A Framework to Challenge Large Language Models for Code Reasoning C Liu, SD Zhang, R Jabbarvand arXiv preprint arXiv:2402.09664, 2024 | 4 | 2024 |
| Transforming test suites into croissants Y Chen, A Yildiz, D Marinov, R Jabbarvand Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 1 | 2023 |
| Program Decomposition and Translation with Static Analysis AR Ibrahimzada arXiv preprint arXiv:2401.12412, 2024 | | 2024 |
| Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023) R Jabbarvand, S Tizpaz-Niari, ET Barr, S Chandra ACM SIGSOFT Software Engineering Notes 49 (1), 30-33, 2023 | | 2023 |
| Interpretable On-the-Fly Repair of Deep Neural Classifiers H Mohasel Arjomandi, R Jabbarvand Proceedings of the 1st International Workshop on Dependability and …, 2023 | | 2023 |
Reyhaneh JabbarvandUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
