Rahul Krishna

Registered user since Mon 5 Mar 2018

Name:Rahul Krishna
Country:United States
Affiliation:IBM Research
Personal website:http://rkrsn.us
Research interests:Machine Learning, Program Analysis, Software Testing, Software Security


ASE 2021 Author of Lessons learned from hyper-parameter tuning for microservice candidate identification within the Industry Showcase-track
Presenter of Transforming Monolithic Applications to Microservices with Mono2Micro within the Tutorials-track
MSR 2021 Committee Member in Data Showcase Committee within the Data Showcase-track
ESEC/FSE 2021 Committee Member in Program Committee within the Artifacts-track
Author of Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices within the Industry Papers-track
ISSTA 2020 Committee Member in Artifact Evaluation Committee within the Artifact Evaluation-track
ESEC/FSE 2020 Author of MTFuzz: Fuzzing with a Multi-task Neural Network within the Research Papers-track
ICSE 2021 Author of Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE within the Journal-First Papers-track
Author of ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance within the Journal-First Papers-track
ICSE 2020 Programme Committee in Program Committees within the Artifact Evaluation-track
ICSE 2019 Author of iSENSE: Completion-Aware Crowdtesting Management within the Technical Track-track
ESEC/FSE 2018 Author of Applications of Psychological Science for Actionable Analytics within the Research Papers-track
Author of Characterizing the Influence of Continuous Integration: Empirical Results from 250+ Open Source and Proprietary Projects within the SWAN-track
* ICSE 2018 * Author of What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects) within the SEIP - Software Engineering in Practice-track
Author of We Don't Need Another Hero? The Impact of "Heroes" on Software Development within the SEIP - Software Engineering in Practice-track