Saikat Dutta

Affiliations:
  • Cornell University, Ithaca, NY, USA
  • University of Illinois, Urbana-Champaign, USA (former)


According to our database1, Saikat Dutta authored at least 18 papers between 2013 and 2024.

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Bibliography

2024
Debugging convergence problems in probabilistic programs via program representation learning with SixthSense.
Int. J. Softw. Tools Technol. Transf., June, 2024

2023
ASTRA: Understanding the practical impact of robustness for probabilistic programs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Automated quantized inference for probabilistic programs with AQUA.
Innov. Syst. Softw. Eng., 2022

To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects.
Proceedings of the 15th IEEE Conference on Software Testing, Verification and Validation, 2022

InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning.
Proceedings of the Fundamental Approaches to Software Engineering, 2022

2021
FLEX: fixing flaky tests in machine learning projects by updating assertion bounds.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

TERA: optimizing stochastic regression tests in machine learning projects.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

AQUA: Automated Quantized Inference for Probabilistic Programs.
Proceedings of the Automated Technology for Verification and Analysis, 2021

2020
Detecting flaky tests in probabilistic and machine learning applications.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

2019
Storm: program reduction for testing and debugging probabilistic programming systems.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2018
Testing probabilistic programming systems.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2017
AutoSense: A Framework for Automated Sensitivity Analysis of Program Data.
IEEE Trans. Software Eng., 2017

2015
Enhancing branch prediction using software evolution.
Proceedings of the 10th IEEE International Conference on Networking, 2015

A New Approach for Minimal Environment Construction for Modular Property Verification.
Proceedings of the 24th IEEE Asian Test Symposium, 2015

A Framework for Fast Service Verification and Query Execution for Boolean Service Rules.
Proceedings of the Advances in Services Computing, 2015

2013
Using Daikon to Prioritize and Group Unit Bugs.
Proceedings of the Formal Aspects of Component Software - 10th International Symposium, 2013


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