SentiCR: a customized sentiment analysis tool for code review interactions T Ahmed, A Bosu, A Iqbal, S Rahimi 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 175 | 2017 |
Few-shot training LLMs for project-specific code-summarization T Ahmed, P Devanbu 37th IEEE/ACM International Conference on Automated Software Engineering, 1-5, 2022 | 118 | 2022 |
NatGen: generative pre-training by “naturalizing” source code S Chakraborty, T Ahmed, Y Ding, PT Devanbu, B Ray Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 90 | 2022 |
Multilingual training for software engineering T Ahmed, P Devanbu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 65 | 2022 |
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models T Ahmed, S Ghosh, C Bansal, T Zimmermann, X Zhang, S Rajmohan Proceedings of the IEEE/ACM 45th International Conference on Software …, 2023 | 57 | 2023 |
SynShine: Improved Fixing of Syntax Errors T Ahmed, NR Ledesma, P Devanbu IEEE Transactions on Software Engineering, 2022 | 37* | 2022 |
Learning type annotation: is big data enough? K Jesse, PT Devanbu, T Ahmed Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 34 | 2021 |
Large Language Models and Simple, Stupid Bugs K Jesse, T Ahmed, PT Devanbu, E Morgan 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 31 | 2023 |
Automatic semantic augmentation of language model prompts (for code summarization) T Ahmed, KS Pai, P Devanbu, ET Barr 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE …, 2024 | 27* | 2024 |
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie A Al-Kaswan, T Ahmed, M Izadi, AA Sawant, P Devanbu, A van Deursen 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 25 | 2023 |
Learning lenient parsing & typing via indirect supervision T Ahmed, P Devanbu, VJ Hellendoorn Empirical Software Engineering 26 (2), 1-31, 2021 | 22 | 2021 |
Review4Repair: Code review aided automatic program repairing F Huq, M Hasan, MMA Haque, S Mahbub, A Iqbal, T Ahmed Information and Software Technology 143, 106765, 2022 | 18 | 2022 |
Better patching using LLM prompting, via Self-Consistency T Ahmed, P Devanbu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 15* | 2023 |
Learning to Find Usages of Library Functions in Optimized Binaries T Ahmed, P Devanbu, AA Sawant IEEE Transactions on Software Engineering 48 (10), 3862-3876, 2021 | 15* | 2021 |
Early prediction for merged vs abandoned code changes in modern code reviews K Islam, T Ahmed, R Shahriyar, A Iqbal, G Uddin Information and Software Technology 142, 106756, 2022 | 10 | 2022 |
Weighted Optimal Sequenced Group Trip Planning Queries S Barua, R Jahan, T Ahmed 2017 18th IEEE International Conference on Mobile Data Management (MDM), 222-227, 2017 | 8 | 2017 |
Quality and Trust in LLM-generated Code C Spiess, D Gros, KS Pai, M Pradel, MRI Rabin, S Jha, P Devanbu, ... arXiv preprint arXiv:2402.02047, 2024 | 6 | 2024 |
Learning code summarization from a small and local dataset T Ahmed, P Devanbu arXiv preprint arXiv:2206.00804, 2022 | 6 | 2022 |
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques A Hussain, MRI Rabin, T Ahmed, B Xu, P Devanbu, MA Alipour arXiv preprint arXiv:2305.03803, 2023 | 5 | 2023 |
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code A Hussain, MRI Rabin, T Ahmed, MA Alipour, B Xu arXiv preprint arXiv:2312.04004, 2023 | 4 | 2023 |