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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021
Georgios Gousios

Registered user since Mon 8 Apr 2019

Name: Georgios Gousios

Bio: Dr. Georgios Gousios is research engineer at Facebook, Menlo Park and an associate professor (on leave) at the Software Engineering Group, Delft University of Technology, where he leads the group’s Software Analytics lab. He works in the fields of sofware ecosystems, software testing, and machine learning for software engineering. His research has been published in top venues (ICSE, FSE, TSE), where he has received 4 distinguished paper awards. He is the main author of the GHTorrent data collection and curation framework (for which he received a foundational contribution award) and various widely used tools and datasets. He was the PI for the FASTEN project, that aims to improve the state of dependency management, and the CodeFeedr project which delivers real time software analytics.

Dr. Gousios holds a PhD with distinction in Software Engineering (mining software repositories) from the Athens University of Economics and Business (AUEB) and an MSc with distinction (software engineering) from the University of Manchester.

Country: Netherlands

Affiliation: Facebook & Delft University of Technology

Personal website: http://www.gousios.org/

Research interests: Software engineering, dependency management, machine learning

Contributions

MSR 2021 Learning Off-By-One Mistakes: An Empirical Study
ManyTypes4Py: A benchmark Python dataset for machine learning-based type inference
Committee Member in Committee within the MSR Awards-track
ICSE 2021 Committee Member in Program Committee within the Technical Track-track
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