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ORCIDSaikat Dutta 0001
Person information
- affiliation: Cornell University, Ithaca, NY, USA
- affiliation (former): University of Illinois, Urbana-Champaign, USA
Other persons with the same name
- Saikat Dutta — disambiguation page
- Saikat Dutta 0002
![[0000-0001-6021-5407]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6021-5407")
— Indian Institute of Technology Madras, Chennai, India (and 1 more)
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Journal Articles
- 2024
[j3]Zixin Huang, Saikat Dutta, Sasa Misailovic:
Debugging convergence problems in probabilistic programs via program representation learning with SixthSense. Int. J. Softw. Tools Technol. Transf. 26(3): 249-268 (2024)- 2022
- [j2]Zixin Huang, Saikat Dutta, Sasa Misailovic:
Automated quantized inference for probabilistic programs with AQUA. Innov. Syst. Softw. Eng. 18(3): 369-384 (2022) - 2017
- [j1]Bernard Nongpoh, Rajarshi Ray, Saikat Dutta, Ansuman Banerjee:
AutoSense: A Framework for Automated Sensitivity Analysis of Program Data. IEEE Trans. Software Eng. 43(12): 1110-1124 (2017)
Conference and Workshop Papers
- 2025
- [c19]Ziyang Li, Saikat Dutta, Mayur Naik:
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities. ICLR 2025 - [c18]Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, Mayur Naik:
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities. ICST 2025: 103-114 - [c17]Claas Beger, Saikat Dutta:
CoCoNUT: Structural Code Understanding does not fall out of a tree. LLM4Code@ICSE 2025: 128-136 - 2024
- [c16]Muhammad Salman Abid, Mrigank Pawagi, Sugam Adhikari, Xuyan Cheng, Ryed Badr, Md Wahiduzzaman, Vedant Rathi, Ronghui Qi, Choiyin Li, Lu Liu, Rohit Sai Naidu, Licheng Lin, Que Liu, Asif Zubayer Palak, Mehzabin Haque, Xinyu Chen, Darko Marinov, Saikat Dutta:
GlueTest: Testing Code Translation via Language Interoperability. ICSME 2024: 612-617 - 2023
- [c15]Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang:
Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. ICSE 2023: 1801-1813 - [c14]Zixin Huang, Saikat Dutta, Sasa Misailovic:
ASTRA: Understanding the practical impact of robustness for probabilistic programs. UAI 2023: 900-910 - 2022
- [c13]Saikat Dutta, Zixin Huang, Sasa Misailovic:
SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning. FASE 2022: 123-144 - [c12]Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schäfer:
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. ICSE (SEIP) 2022: 165-174 - [c11]Saikat Dutta, Anshul Arunachalam, Sasa Misailovic:
To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects. ICST 2022: 151-161 - 2021
- [c10]Zixin Huang, Saikat Dutta, Sasa Misailovic:
AQUA: Automated Quantized Inference for Probabilistic Programs. ATVA 2021: 229-246 - [c9]Saikat Dutta, Jeeva Selvam, Aryaman Jain, Sasa Misailovic:
TERA: optimizing stochastic regression tests in machine learning projects. ISSTA 2021: 413-426 - [c8]Saikat Dutta, August Shi, Sasa Misailovic:
FLEX: fixing flaky tests in machine learning projects by updating assertion bounds. ESEC/SIGSOFT FSE 2021: 603-614 - 2020
- [c7]Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, Sasa Misailovic:
Detecting flaky tests in probabilistic and machine learning applications. ISSTA 2020: 211-224 - 2019
- [c6]Saikat Dutta, Wenxian Zhang, Zixin Huang, Sasa Misailovic:
Storm: program reduction for testing and debugging probabilistic programming systems. ESEC/SIGSOFT FSE 2019: 729-739 - 2018
- [c5]Saikat Dutta, Owolabi Legunsen, Zixin Huang, Sasa Misailovic:
Testing probabilistic programming systems. ESEC/SIGSOFT FSE 2018: 574-586 - 2015
- [c4]Soumi Chattopadhyay, Saikat Dutta, Ansuman Banerjee:
A Framework for Fast Service Verification and Query Execution for Boolean Service Rules. APSCC 2015: 17-32 - [c3]Saikat Dutta, Soumi Chattopadhyay, Ansuman Banerjee, Pallab Dasgupta:
A New Approach for Minimal Environment Construction for Modular Property Verification. ATS 2015: 205-210 - [c2]Saikat Dutta, Moumita Das, Ansuman Banerjee:
Enhancing branch prediction using software evolution. NAS 2015: 295-304 - 2013
- [c1]Nehul Jain, Saikat Dutta, Ansuman Banerjee, Anil Kumar Ghosh, Lihua Xu, Huibiao Zhu:
Using Daikon to Prioritize and Group Unit Bugs. FACS 2013: 215-233
Informal and Other Publications
- 2025
- [i5]Claas Beger, Saikat Dutta:
CoCoNUT: Structural Code Understanding does not fall out of a tree. CoRR abs/2501.16456 (2025) - 2024
- [i4]Ziyang Li, Saikat Dutta, Mayur Naik:
LLM-Assisted Static Analysis for Detecting Security Vulnerabilities. CoRR abs/2405.17238 (2024) - [i3]Aaditya Naik, Jason Liu, Claire Wang, Saikat Dutta, Mayur Naik, Eric Wong:
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning. CoRR abs/2410.03348 (2024) - 2023
- [i2]Avishree Khare, Saikat Dutta, Ziyang Li, Alaia Solko-Breslin, Rajeev Alur, Mayur Naik:
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities. CoRR abs/2311.16169 (2023) - 2021
- [i1]Saikat Dutta, Diego Garbervetsky, Shuvendu K. Lahiri, Max Schäfer:
InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript. CoRR abs/2111.09625 (2021)
Coauthor Index
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