| How to fight production incidents? an empirical study on a large-scale cloud service S Ghosh, M Shetty, C Bansal, S Nath Proceedings of the 13th Symposium on Cloud Computing, 126-141, 2022 | 27 | 2022 |
| Neural knowledge extraction from cloud service incidents M Shetty, C Bansal, S Kumar, N Rao, N Nagappan, T Zimmermann 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 15 | 2021 |
| Autotsg: learning and synthesis for incident troubleshooting M Shetty, C Bansal, SP Upadhyayula, A Radhakrishna, A Gupta Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 10 | 2022 |
| SoftNER: Mining knowledge graphs from cloud incidents M Shetty, C Bansal, S Kumar, N Rao, N Nagappan Empirical Software Engineering 27 (4), 1-34, 2022 | 8 | 2022 |
| DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines A Singhvi, M Shetty, S Tan, C Potts, K Sen, M Zaharia, O Khattab arXiv preprint arXiv:2312.13382, 2023 | 5 | 2023 |
| R2E: Turning any Github Repository into a Programming Agent Environment N Jain, M Shetty, T Zhang, K Han, K Sen, I Stoica Forty-first International Conference on Machine Learning, 2024 | 4 | 2024 |
| DeepAnalyze: Learning to Localize Crashes at Scale M Shetty, C Bansal, S Nath, S Bowles, H Wang, O Arman, S Ahari 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE …, 2022 | 4 | 2022 |
| Automated troubleshooter R Mittal, MS Molahalli, P Kapoor, C Bansal, T Sharma, A Malhotra, ... US Patent App. 17/743,067, 2022 | 1 | 2022 |
| Building AI Agents for Autonomous Clouds: Challenges and Design Principles M Shetty, Y Chen, G Somashekar, M Ma, Y Simmhan, X Zhang, J Mace, ... arXiv preprint arXiv:2407.12165, 2024 | | 2024 |
| CodeScholar: Growing Idiomatic Code Examples M Shetty, K Sen, I Stoica arXiv preprint arXiv:2312.15157, 2023 | | 2023 |
| Crash localization using crash frame sequence labelling C Bansal, MS Molahalli, SK Nath, S Ahari, H Wang, SA Bowles, ... US Patent 11,734,156, 2023 | | 2023 |
| Performing quality-based action (s) regarding engineer-generated documentation associated with code and/or application programming interface A Gupta, C Bansal, MS Molahalli US Patent App. 17/446,153, 2023 | | 2023 |
| Automatic recognition of entities related to cloud incidents MS Molahalli, C Bansal, S Kumar, RAO Nikitha, N Nagappan, ... US Patent App. 16/925,453, 2022 | | 2022 |
Chetan BansalMicrosoftVerified email at microsoft.com
