Machine Learning Methods in Software Engineering
Publications
Comparing Block-based Programming Models for Two-armed Robots
September 2020
Nico Ritschel, Vladimir Kovalenko, Reid Holmes, Ron Garcia, David C. Shepherd
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help
September 2020
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
Sosed: a tool for finding similar software projects
September 2020
Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin
Building Implicit Vector Representations of Individual Coding Style
June 2020
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli
Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler
June 2020
Timofey Bryksin, Victor Petukhov, Ilya Alexin, Stanislav Prikhodko, Alexey Shpilman, Vladimir Kovalenko, Nikita Povarov
Visualization of Methods Changeability Based on VCS Data
June 2020
Sergey Svitkov, Timofey Bryksin
A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub
June 2020
Yaroslav Golubev, Maria Eliseeva, Nikita Povarov, Timofey Bryksin
Recommendation of Move Method Refactoring Using Path-Based Representation of Code
June 2020
Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev, Timofey Bryksin
Multi-Objective Optimization for Token-Based Clone Detection
February 2020
Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, Timofey Bryksin
Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering
February 2020
Egor Bogomolov, Vladimir Kovalenko, Alberto Bacchelli, Timofey Bryksin
Kotless: a Serverless Framework for Kotlin
November 2019
Vladislav Tankov, Yaroslav Golubev, Timofey Bryksin
Automatic Classification of Error Types in Solutions to Programming Assignments at Online Learning Platform
June 2019
Artyom Lobanov, Timofey Bryksin, and Alexey Shpilman
PathMiner : A Library for Mining of Path-Based Representations of Code
May 2019
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli
Evaluation of Move Method refactorings recommendation algorithms: are we doing it right?
May 2019
Evgenii Novozhilov, Ivan Veselov, Mikhail Pravilov, Timofey Bryksin
Does reviewer recommendation help developers?
September 2018
Vladimir Kovalenko, Nava Tintarev, Evgeny Pasynkov, Christian Bird, Alberto Bacchelli
Automatic Recommendation of Move Method Refactorings Using Clustering Ensembles
September 2018
Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman
Mining file histories: should we consider branches?
September 2018
Vladimir Kovalenko, Fabio Palomba, Alberto Bacchelli
Detecting anomalies in Kotlin code
July 2018
Timofey Bryksin, Victor Petukhov, Kirill Smirenko, Nikita Povarov
Code review for newcomers: is it different?
May 2018
Vladimir Kovalenko, Alberto Bacchelli
Data-based code synthesis in IntelliJ IDEA
April 2018
V. Tankov and T. Bryksin
Automated refactoring of object-oriented code using clustering ensembles
February 2018
T. Bryskin, A. Shpilman, D. Kudenko