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Saikat Dutta
标题
引用次数
引用次数
年份
Detecting flaky tests in probabilistic and machine learning applications
S Dutta, A Shi, R Choudhary, Z Zhang, A Jain, S Misailovic
Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020
692020
Testing probabilistic programming systems
S Dutta, O Legunsen, Z Huang, S Misailovic
Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018
652018
Flex: fixing flaky tests in machine learning projects by updating assertion bounds
S Dutta, A Shi, S Misailovic
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
322021
Storm: program reduction for testing and debugging probabilistic programming systems
S Dutta, W Zhang, Z Huang, S Misailovic
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
312019
AutoSense: A framework for automated sensitivity analysis of program data
B Nongpoh, R Ray, S Dutta, A Banerjee
IEEE Transactions on Software Engineering 43 (12), 1110-1124, 2017
262017
Aqua: Automated quantized inference for probabilistic programs
Z Huang, S Dutta, S Misailovic
Automated Technology for Verification and Analysis: 19th International …, 2021
242021
Understanding the effectiveness of large language models in detecting security vulnerabilities
A Khare, S Dutta, Z Li, A Solko-Breslin, R Alur, M Naik
arXiv preprint arXiv:2311.16169, 2023
212023
To seed or not to seed? an empirical analysis of usage of seeds for testing in machine learning projects
S Dutta, A Arunachalam, S Misailovic
2022 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2022
122022
Tera: Optimizing stochastic regression tests in machine learning projects
S Dutta, J Selvam, A Jain, S Misailovic
Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021
122021
Sixthsense: Debugging convergence problems in probabilistic programs via program representation learning
S Dutta, Z Huang, S Misailovic
International Conference on Fundamental Approaches to Software Engineering …, 2022
62022
Astra: understanding the practical impact of robustness for probabilistic programs
Z Huang, S Dutta, S Misailovic
Uncertainty in Artificial Intelligence, 900-910, 2023
52023
InspectJS: leveraging code similarity and user-feedback for effective taint specification inference for JavaScript
S Dutta, D Garbervetsky, SK Lahiri, M Schäfer
Proceedings of the 44th International Conference on Software Engineering …, 2022
52022
Balancing effectiveness and flakiness of non-deterministic machine learning tests
CS Xia, S Dutta, S Misailovic, D Marinov, L Zhang
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
32023
Automated quantized inference for probabilistic programs with AQUA
Z Huang, S Dutta, S Misailovic
Innovations in Systems and Software Engineering 18 (3), 369-384, 2022
32022
Using Daikon to Prioritize and Group Unit Bugs
N Jain, S Dutta, A Banerjee, AK Ghosh, L Xu, H Zhu
Formal Aspects of Component Software: 10th International Symposium, FACS …, 2014
32014
Enhancing branch prediction using software evolution
S Dutta, M Das, A Banerjee
2015 IEEE International Conference on Networking, Architecture and Storage …, 2015
22015
LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
Z Li, S Dutta, M Naik
arXiv preprint arXiv:2405.17238, 2024
12024
Debugging convergence problems in probabilistic programs via program representation learning with SixthSense
Z Huang, S Dutta, S Misailovic
International Journal on Software Tools for Technology Transfer, 1-20, 2024
12024
Randomness-aware testing of machine learning-based systems
S Dutta
University of Illinois at Urbana-Champaign, 2023
2023
A new approach for minimal environment construction for modular property verification
S Dutta, S Chattopadhyay, A Banerjee, P Dasgupta
2015 IEEE 24th Asian Test Symposium (ATS), 205-210, 2015
2015
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