Egor Bogomolov
Research Groups
Biography
Pursuing a master's degree at Higher School of Economics, Department of Informatics.
Main research interests: data-driven Software Engineering, ML on source code.
Publications
Unsupervised Learning of General-Purpose Embeddings for Code Changes
August 2021
Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, and Timofey Bryksin
5th International Workshop on Machine Learning Techniques for Software Quality Evolution (MaLTeSQuE'21)
Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering
August 2021
Egor Bogomolov, Vladimir Kovalenko, Alberto Bacchelli, and Timofey Bryksin
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'21)
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
May 2021
Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, and Timofey Bryksin
18th International Conference on Mining Software Repositories (MSR'21)
Sosed: a Tool for Finding Similar Software Projects
September 2020
Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko and Timofey Bryksin
35th IEEE/ACM International Conference on Automated Software Engineering (ASE'20)
Building Implicit Vector Representations of Individual Coding Style
June 2020
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin and Alberto Bacchelli
13th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE'20)
PathMiner: A Library for Mining of Path-Based Representations of Code
May 2019
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, and Alberto Bacchelli
16th International Conference on Mining Software Repositories (MSR'19)