Saikat Dutta -

Registered user since Thu 2 Aug 2018

Name:Saikat Dutta

Bio:

I am a PhD student in the Computer Science Department at University of Illinois, Urbana-Champaign. As a member of the Programming Languages and Software Engineering group, I am being advised by Prof. Sasa Misailovic. My research interests broadly include program analysis, approximate computing and probabilistic programming languages. I am currently working on analyzing probabilistic programming languages and developing ways to test and debug them.

Country:United States

Affiliation:University of Illinois at Urbana-Champaign

Personal website:https://saikatdutta.web.illinois.edu

Research interests:Probabilistic Programming, Program Analysis, Software Testing

Contributions

ICSE 2023	Author of Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests within the Technical Track-track
ESEC/FSE 2022	Author of FLEX: Fixing Flaky Tests in Machine Learning Projects by Updating Assertion Bounds within the ESEC/FSE 2021-track
ICSE 2022	Author of InspectJS: Leveraging Code Similarity and User-Feedback for Effective Taint Specification Inference for JavaScript within the SEIP - Software Engineering in Practice-track
MSR 2022	Committee Member in Shadow PC Members within the Shadow PC-track
ICST 2022	Author of To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects within the Research Papers-track
ESEC/FSE 2021	Author of FLEX: Fixing Flaky Tests in Machine Learning Projects by Updating Assertion Bounds within the Research Papers-track
ISSTA 2021	Author of Artifact for #468: TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects within the Artifact Evaluation-track Author of TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects within the Technical Papers-track
PLDI 2021	Committee Member in Artifact Evaluation Committee within the Research Artifacts-track
SPLASH 2020	Committee Member in Artifact Evaluation Committee within the OOPSLA Artifacts-track
ISSTA 2020	Author of Detecting Flaky Tests in Probabilistic and Machine Learning Applications within the Technical Papers-track
ESEC/FSE 2018	Author of Testing Probabilistic Programming Systems within the Research Papers-track