Chetan Bansal
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Discovering concrete attacks on website authorization by formal analysis
C Bansal, K Bhargavan, A Delignat-Lavaud, S Maffeis
Journal of Computer Security 22 (4), 601-657, 2014
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
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
Rex: Preventing bugs and misconfiguration in large services using correlated change analysis
S Mehta, R Bhagwan, R Kumar, C Bansal, C Maddila, B Ashok, S Asthana, ...
17th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2020
Keys to the cloud: Formal analysis and concrete attacks on encrypted web storage
C Bansal, K Bhargavan, A Delignat-Lavaud, S Maffeis
Principles of Security and Trust: Second International Conference, POST 2013 …, 2013
Predicting pull request completion time: a case study on large scale cloud services
C Maddila, C Bansal, N Nagappan
Proceedings of the 2019 27th acm joint meeting on european software …, 2019
Decaf: Diagnosing and triaging performance issues in large-scale cloud services
C Bansal, S Renganathan, A Asudani, O Midy, M Janakiraman
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Whodo: Automating reviewer suggestions at scale
S Asthana, R Kumar, R Bhagwan, C Bird, C Bansal, C Maddila, S Mehta, ...
Proceedings of the 2019 27th ACM joint meeting on european software …, 2019
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
Nudge: accelerating overdue pull requests toward completion
C Maddila, SS Upadrasta, C Bansal, N Nagappan, G Gousios, ...
ACM Transactions on Software Engineering and Methodology 32 (2), 1-30, 2023
Studying ransomware attacks using web search logs
C Bansal, P Deligiannis, C Maddila, N Rao
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Micro-climate prediction-multi scale encoder-decoder based deep learning framework
P Kumar, R Chandra, C Bansal, S Kalyanaraman, T Ganu, M Grant
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Leveraging change intents for characterizing and identifying large-review-effort changes
S Wang, C Bansal, N Nagappan, AA Philip
Proceedings of the fifteenth international conference on predictive models …, 2019
Building sankie: An ai platform for devops
R Kumar, C Bansal, C Maddila, N Sharma, S Martelock, R Bhargava
2019 IEEE/ACM 1st international workshop on bots in software engineering …, 2019
Providing and leveraging implicit signals reflecting user-to-BOT interaction
C Bansal, AD Uppala
US Patent 10,771,406, 2020
Analyzing web search behavior for software engineering tasks
N Rao, C Bansal, T Zimmermann, AH Awadallah, N Nagappan
2020 IEEE International Conference on Big Data (Big Data), 768-777, 2020
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
Large-scale intent analysis for identifying large-review-effort code changes
S Wang, C Bansal, N Nagappan
Information and Software Technology 130, 106408, 2021
Search4Code: Code search intent classification using weak supervision
N Rao, C Bansal, J Guan
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
Massively empowered classroom: Enhancing technical education in india
E Cutrell, S Bala, C Bansal, A Cross, N Datha, A John, R Kumar, ...
Micrsoft Research India, 2013
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
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