Machine Learning Methods in Software Engineering
Publications
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs
November 2022
Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov, Yaroslav Golubev, Alexander Bezzubov, Nikita Povarov, and Timofey Bryksin
AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE
October 2022
Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Kini, and Aditya Thakur
Evaluating the Impact of Source Code Parsers on ML4SE Models
June 2022
Ilya Utkin, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
June 2022
Maksim Zubkov, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
Assessing Project-Level Fine-Tuning of ML4SE Models
June 2022
Egor Bogomolov, Sergey Zhuravlev, Egor Spirin, and Timofey Bryksin
Reflekt: a Library for Compile-Time Reflection in Kotlin
May 2022
Anastasiia Birillo, Elena Lyulina, Maria Malysheva, Vladislav Tankov, and Timofey Bryksin
IntelliTC: Automating Type Changes in IntelliJ IDEA
May 2022
Oleg Smirnov, Ameya Ketkar, Timofey Bryksin, Nikolaos Tsantalis, and Danny Dig
Lupa: A Framework for Large Scale Analysis of the Programming Language Usage
May 2022
Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, and Timofey Bryksin
A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts
May 2022
Konstantin Grotov, Sergey Titov, Vladimir Sotnikov, Yaroslav Golubev, and Timofey Bryksin
ACM SIGSOFT Distinguished Paper Award
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
May 2022
Fuxiang Chen, Fatemeh Fard, David Lo, and Timofey Bryksin
Inferring and Applying Type Changes
May 2022
Ameya Ketkar, Oleg Smirnov, Nikolaos Tsantalis, Danny Dig, and Timofey Bryksin
Aggregation of Stack Trace Similarities for Crash Report Deduplication
April 2022
Nikolay Karasov, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, and Timofey Bryksin
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation
March 2022
Denis Sushentsev, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, and Timofey Bryksin
ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells
March 2022
Sergey Titov, Yaroslav Golubev, and Timofey Bryksin
Hyperstyle: A Tool for Assessing the Code Quality of Solutions to Programming Assignments
March 2022
Anastasiia Birillo, Ilya Vlasov, Artyom Burylov, Vitalii Selishchev, Artyom Goncharov, Elena Tikhomirova, Nikolay Vyahhi, and Timofey Bryksin
RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information
November 2021
Zarina Kurbatova, Vladimir Kovalenko, Ioana Savu, Bob Brockbernd, Dan Andreescu, Matei Anton, Roman Venediktov, Elena Tikhomirova, and Timofey Bryksin
The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data
November 2021
Zarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, and Timofey Bryksin
Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching
November 2021
Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev, Elena Tikhomirova, and Timofey Bryksin
Infrastructure in Code: Towards Developer-Friendly Cloud Applications
November 2021
Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, and Timofey Bryksin
PyNose: A Test Smell Detector For Python
November 2021
Tongjie Wang, Yaroslav Golubev, Oleg Smirnov, Jiawei Li, Timofey Bryksin, and Iftekhar Ahmed
On the Nature of Code Cloning in Open-Source Java Projects
October 2021
Yaroslav Golubev and Timofey Bryksin
Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities
September 2021
Dmitry Pogrebnoy, Ivan Kuznetsov, Yaroslav Golubev, Vladislav Tankov, and Timofey Bryksin
Best Tool Demo Award
Unsupervised Learning of General-Purpose Embeddings for Code Changes
August 2021
Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, and Timofey Bryksin
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
One Thousand and One Stories: A Large-Scale Survey of Software Refactoring
August 2021
Yaroslav Golubev, Zarina Kurbatova, Eman Abdullah AlOmar, Timofey Bryksin, and Mohamed Wiem Mkaouer
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
May 2021
Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, and Timofey Bryksin
Changes from the Trenches: Should We Automate Them?
May 2021
Yaroslav Golubev, Jiawei Li, Viacheslav Bushev, Timofey Bryksin, and Iftekhar Ahmed
TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks
March 2021
Elena Lyulina, Anastasiia Birillo, Vladimir Kovalenko, andTimofey Bryksin
Multi-Threshold Token-Based Code Clone Detection
March 2021
Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, and Timofey Bryksin
Sosed: a Tool for Finding Similar Software Projects
September 2020
Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko and Timofey Bryksin
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, and Rana Alkadhi
Comparing Block-based Programming Models for Two-armed Robots
September 2020
Nico Ritschel, Vladimir Kovalenko, Reid Holmes, Ron Garcia, and David C. Shepherd
Building Implicit Vector Representations of Individual Coding Style
June 2020
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin and 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 and Nikita Povarov
A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub
June 2020
Yaroslav Golubev, Maria Eliseeva, Nikita Povarov and Timofey Bryksin
Recommendation of Move Method Refactoring Using Path-Based Representation of Code
June 2020
Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev and Timofey Bryksin
Visualization of Methods Changeability Based on VCS Data
June 2020
Sergey Svitkov and Timofey Bryksin
Kotless: a Serverless Framework for Kotlin
November 2019
Vladislav Tankov, Yaroslav Golubev, andTimofey 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, and Alberto Bacchelli
Evaluation of Move Method Refactorings Recommendation Algorithms: Are We Doing It Right?
May 2019
Evgenii Novozhilov, Ivan Veselov, Mikhail Pravilov, and Timofey Bryksin
Automatic Recommendation of Move Method Refactorings Using Clustering Ensembles
September 2018
Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman
Does Reviewer Recommendation Help Developers?
September 2018
Vladimir Kovalenko, Nava Tintarev, Evgeny Pasynkov, Christian Bird, and Alberto Bacchelli
Mining File Histories: Should We Consider Branches?
September 2018
Vladimir Kovalenko, Fabio Palomba, and Alberto Bacchelli
Detecting Anomalies in Kotlin Code
July 2018
Timofey Bryksin, Victor Petukhov, Kirill Smirenko, and Nikita Povarov
Automated Refactoring of Object-Oriented Code Using Clustering Ensembles
June 2018
Timofey Bryskin, Alexey Shpilman, and Daniel Kudenko
Code Review for Newcomers: Is It Different?
May 2018
Vladimir Kovalenko and Alberto Bacchelli
Data-Based Code Synthesis in IntelliJ IDEA
April 2018
Vladislav Tankov and Timofey Bryksin