Benoit Baudry

Registered user since Thu 5 Apr 2018

Name: Benoit Baudry

Bio: Benoit Baudry is a Professor at the KTH Royal Institute of Technology in Stockholm, Sweden. He currently investigates novel techniques for automatic test amplification and build diversification in DevOps. His research focuses on program transformation, testing and diversification. Until August 2017 he was a research scientist at INRIA, France, where he led the software engineering group DiverSE.

Country: Sweden

Affiliation: KTH Royal Institute of Technology, Sweden

Research interests: Software testing, software diversity, randomization, DevOps


MSR 2019Author of The Emergence of Software Diversity in Maven Central within the MSR 2019 Technical Papers-track
Author of The Maven Dependency Graph: a Temporal Graph-based Representation of Maven Centra within the MSR 2019 Data Showcase-track
ISSTA 2019Committee Member in Program Committee within the Technical Papers-track
ICSE 2020Programme Committee in Program Committee within the Technical Papers-track
ICSE 2019Author of Automatic Test Improvement with DSpot: a Study with Ten Mature Open-Source Projects within the Journal-First Papers-track
Author of A comprehensive study of pseudo-tested methods within the Journal-First Papers-track
Committee Member in Program Committee within the Technical Track-track
MSR 2018Author of Detection and Analysis of Behavioral T-patterns in Debugging Activities within the Mining Challenge-track
GPCE 2016Author of Automatic Non-functional Testing of Code Generators Families within the GPCE-track
* ICSE 2018 *Author of Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation within the Journal first papers-track
Author of Images of Code: Lossy Compression for Native Instructions within the NIER - New Ideas and Emerging Results -track
SLE 2015Author of Supporting Efficient and Advanced Omniscient Debugging for xDSMLs within the SLE-track
SLE 2013Author of Reifying Concurrency for Executable Metamodeling within the Research Papers-track