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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021
Mohammed Sayagh

Registered user since Tue 26 Sep 2017

Name: Mohammed Sayagh

Bio: I’m an assistant professor at Ecole Technologie Supérieur - Québec University. Before that, I was working as a PostDoc fellow in the Software Analysis and Intelligence Lab (SAIL) at Queen’s University (Kingston, ON) under the supervision of Prof. Ahmed E. Hassan. I obtained my Ph.D. from the Maintenance, Construction, and Intelligence of Software lab (MCIS) at Ecole Polytechnique (Montréal, QC) under the supervision of Prof. Bram Adams. I have a wide range of research interests that are related to software empirical studies. My main focus is related to software variability in multi-component software systems. I have applied different qualitative and quantitative empirical studies techniques to my research, such as mining software repositories (e.g., source code repositories, online forums, and DockerHub), source code analysis (e.g., Slicing), and machine learning.

Country: Canada

Affiliation: ETS Montreal, University of Quebec

Personal website: http://msayagh.github.io/

Research interests: Empirical Software Engineering, Mining Software Repositories, Distributed Systems, Configuration Management


MSR 2021 Committee Member in Program Committee within the Technical Papers-track
ICSE 2021 An Empirical Study of the Characteristics of Popular Minecraft Mods
ConfigMiner: Identifying the Appropriate Configuration Options for Config-related User Questions by Mining Online Forums
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