[J3] Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
Agnia Sergeyuk, Yaroslav Golubev, Timofey Bryksin, and Iftekhar Ahmed
February, 2025. Published in Information and Software Technology (Q1).
Publications
J — Journal papers. C — Conference papers. B — Book chapters. P — Pre-prints.
[C60] One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks
Anastasiia Birillo, Elizaveta Artser, Anna Potriasaeva, Ilya Vlasov, Katsiaryna Dzialets, Yaroslav Golubev, Igor Gerasimov, Hieke Keuning, and Timofey Bryksin
November, 2024. Published in the proceedings of Koli Calling (—).
[C59] Clustering MOOC Programming Solutions to Diversify Their Presentation to Students
Elizaveta Artser, Anastasiia Birillo, Yaroslav Golubev, Maria Tigina, Hieke Keuning, Nikolay Vyahhi, and Timofey Bryksin
November, 2024. Published in the proceedings of Koli Calling (—).
[C58] Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, and Yaroslav Zharov
November, 2024. Published in the proceedings of EMNLP'24 (A*).
[P14] Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings
Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, and Yaroslav Zharov
October, 2024. Published on arXiv.
[P13] The Design Space of in-IDE Human-AI Experience
Agnia Sergeyuk, Ekaterina Koshchenko, Ilya Zakharov, Timofey Bryksin, and Maliheh Izadi
October, 2024. Published on arXiv.
[C57] Next-Generation Refactoring: Combining LLM Insights and IDE Capabilities for Extract Method
Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Timofey Bryksin, and Danny Dig
October, 2024. Accepted to ICSME'24 (A).
[C56] Assessing Consensus of Developers’ Views on Code Readability
Agnia Sergeyuk, Olga Lvova, Sergey Titov, Anastasiia Serova, Farid Bagirov, and Timofey Bryksin
September, 2024. Published in the proceedings of PPIG'24 (Workshop).
[C55] Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
Malinda Dilhara, Abhiram Bellur, Danny Dig, and Timofey Bryksin
July, 2024. Published in the proceedings of FSE'24 (A*).
[C54] EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs
Dorin Pomian, Abhiram Bellur, Malinda Dilhara, Zarina Kurbatova, Egor Bogomolov, Andrey Sokolov, Timofey Bryksin, and Danny Dig
July, 2024. Published in the proceedings of FSE'24 (A*).
[P12] Long Code Arena: a Set of Benchmarks for Long-Context Code Models
Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina, Yaroslav Golubev, Alexander Kovrigin, Arie van Deursen, Maliheh Izadi, and Timofey Bryksin
June, 2024. Published on arXiv.
[P11] On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, and Timofey Bryksin
June, 2024. Published on arXiv.
[P10] Kotlin ML Pack: Technical Report
Sergey Titov, Mikhail Evtikhiev, Anton Shapkin, Oleg Smirnov, Sergei Boytsov, Sergei Boytsov, Dariia Karaeva, Maksim Sheptyakov, Mikhail Arkhipov, Timofey Bryksin, and Egor Bogomolov
May, 2024. Published on arXiv.
[P9] Full Line Code Completion: Bringing AI to Desktop
Anton Semenkin, Vitaliy Bibaev, Yaroslav Sokolov, Kirill Krylov, Alexey Kalina, Anna Khannanova, Danila Savenkov, Darya Rovdo, Igor Davidenko, Kirill Karnaukhov, Maxim Vakhrushev, Mikhail Kostyukov, Mikhail Podvitskii, Petr Surkov, Yaroslav Golubev, Nikita Povarov, and Timofey Bryksin
May, 2024. Published on arXiv.
[C53] Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
Konstantin Grotov, Sergey Titov, Yaroslav Zharov, and Timofey Bryksin
May, 2024. Published in the proceedings of HNI'24 (Workshop).
[C52] Reassessing Java Code Readability Models with a Human-Centered Approach
Agnia Sergeyuk, Olga Lvova, Sergey Titov, Anastasiia Serova, Farid Bagirov, Evgeniia Kirillova, and Timofey Bryksin
April, 2024. Published in the proceedings of ICPC'24 (A).
[P8] Dynamic Retrieval-Augmented Generation
Anton Shapkin, Denis Litvinov, Yaroslav Zharov, Egor Bogomolov, Timur Galimzyanov, and Timofey Bryksin
February, 2024. Published on arXiv.
[C51] From Commit Message Generation to History-Aware Commit Message Completion
Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, and Timofey Bryksin
September, 2023. Published in the proceedings of ASE'23 (A*).
[J2] Out of the BLEU: How Should We Assess Quality of the Code Generation Models?
Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, and Timofey Bryksin
September, 2023. Published in Journal of Systems and Software (Q1), presented at ASE'23 (A*).
[C50] Overcoming the Mental Set Effect in Programming Problem Solving
Agnia Sergeyuk, Sergey Titov, Yaroslav Golubev, and Timofey Bryksin
August, 2023. Published in the proceedings of PPIG'23 (Workshop).
[C49] The Effect of Perceptual Load on Performance within IDE in People with ADHD Symptoms
Vseslav Kasatskii, Agnia Serheyuk, Anastasiia Serova, Sergey Titov, and Timofey Bryksin
July, 2023. Published in the proceedings of AC'23 (—).
[C48] Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses
Anastasiia Birillo, Elizaveta Artser, Yaroslav Golubev, Maria Tigina, Hieke Keuning, Nikolay Vyahhi, and Timofey Bryksin
July, 2023. Published in the proceedings of ITiCSE'23 (A).
[J1] Just-in-time Code Duplicates Extraction
Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Kini, and Aditya Thakur
June, 2023. Published in Information and Software Technology (Q1), presented at ESEM'23 (A).
[C47] Optimizing Duplicate Size Thresholds in IDEs
Konstantin Grotov, Sergey Titov, Alexandr Suhinin, Yaroslav Golubev, and Timofey Bryksin
May, 2023. Published in the proceedings of MSR'23 (A).
[C46] Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks
Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, and Timofey Bryksin
May, 2023. Published in the proceedings of ICSE'23 (A*).
[C45] Analyzing the Quality of Submissions in Online Programming Courses
Maria Tigina, Anastasiia Birillo, Yaroslav Golubev, Hieke Keuning, Nikolay Vyahhi, and Timofey Bryksin
May, 2023. Published in the proceedings of ICSE'23 (A*).
[C44] What Writing Assistants Can Learn from Programming IDEs
Sergey Titov, Agnia Sergeyuk, and Timofey Bryksin
April, 2023. Published in the proceedings of In2Writing'23 (Workshop).
[P7] Predicting Tags for Programming Tasks by Combining Textual And Source Code Data
Artyom Lobanov, Egor Bogomolov, Yaroslav Golubev, Mikhail Mirzayanov, and Timofey Bryksin
January, 2023. Published on arXiv.
[C43] All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs
Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov, Yaroslav Golubev, Alexander Bezzubov, Nikita Povarov, and Timofey Bryksin
November, 2022. Published in the proceedings of ESEC/FSE'22 (A*).
[C42] AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE
Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Kini, and Aditya Thakur
October, 2022. Published in the proceedings of ASE'22 (A*).
[P6] So Much in So Little: Creating Lightweight Embeddings of Python Libraries
Yaroslav Golubev, Egor Bogomolov, Egor Bulychev, and Timofey Bryksin
September, 2022. Published on arXiv.
[P5] Evaluating the Impact of Source Code Parsers on ML4SE Models
Ilya Utkin, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
June, 2022. Published on arXiv.
[P4] Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
Maksim Zubkov, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
June, 2022. Published on arXiv.
[P3] Assessing Project-Level Fine-Tuning of ML4SE Models
Egor Bogomolov, Sergey Zhuravlev, Egor Spirin, and Timofey Bryksin
June, 2022. Published on arXiv.
[C41] Lupa: A Framework for Large Scale Analysis of the Programming Language Usage
Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, and Timofey Bryksin
May, 2022. Published in the proceedings of MSR'22 (A).
[C40] A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts
Konstantin Grotov, Sergey Titov, Vladimir Sotnikov, Yaroslav Golubev, and Timofey Bryksin
May, 2022. Published in the proceedings of MSR'22 (A). 🏆 ACM SIGSOFT Distinguished Paper Award 🏆
[C39] On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages
Fuxiang Chen, Fatemeh Fard, David Lo, and Timofey Bryksin
May, 2022. Published in the proceedings of ICPC'22 (A).
[C38] Inferring and Applying Type Changes
Ameya Ketkar, Oleg Smirnov, Nikolaos Tsantalis, Danny Dig, and Timofey Bryksin
May, 2022. Published in the proceedings of ICSE'22 (A*).
[C37] Reflekt: a Library for Compile-Time Reflection in Kotlin
Anastasiia Birillo, Elena Lyulina, Maria Malysheva, Vladislav Tankov, and Timofey Bryksin
May, 2022. Published in the proceedings of ICSE'22 (A*).
[C36] IntelliTC: Automating Type Changes in IntelliJ IDEA
Oleg Smirnov, Ameya Ketkar, Timofey Bryksin, Nikolaos Tsantalis, and Danny Dig
May, 2022. Published in the proceedings of ICSE'22 (A*).
[P2] Aggregation of Stack Trace Similarities for Crash Report Deduplication
Nikolay Karasov, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, and Timofey Bryksin
April, 2022. Published on arXiv.
[C35] ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells
Sergey Titov, Yaroslav Golubev, and Timofey Bryksin
March, 2022. Published in the proceedings of SANER'22 (A).
[C34] DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation
Denis Sushentsev, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, and Timofey Bryksin
March, 2022. Published in the proceedings of SANER'22 (A).
[C33] Hyperstyle: A Tool for Assessing the Code Quality of Solutions to Programming Assignments
Anastasiia Birillo, Ilya Vlasov, Artyom Burylov, Vitalii Selishchev, Artyom Goncharov, Elena Tikhomirova, Nikolay Vyahhi, and Timofey Bryksin
March, 2022. Published in the proceedings of SIGCSE'22 (A).
[C32] The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data
Zarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, and Timofey Bryksin
November, 2021. Published in the proceedings of IWoR'21 (Workshop).
[C31] Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching
Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev, Elena Tikhomirova, and Timofey Bryksin
November, 2021. Published in the proceedings of ASE'21 (A*).
[C30] RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information
Zarina Kurbatova, Vladimir Kovalenko, Ioana Savu, Bob Brockbernd, Dan Andreescu, Matei Anton, Roman Venediktov, Elena Tikhomirova, and Timofey Bryksin
November, 2021. Published in the proceedings of ASE'21 (A*).
[C29] PyNose: A Test Smell Detector For Python
Tongjie Wang, Yaroslav Golubev, Oleg Smirnov, Jiawei Li, Timofey Bryksin, and Iftekhar Ahmed
November, 2021. Published in the proceedings of ASE'21 (A*).
[C28] Infrastructure in Code: Towards Developer-Friendly Cloud Applications
Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, and Timofey Bryksin
November, 2021. Published in the proceedings of ASE'21 (A*).
[C27] On the Nature of Code Cloning in Open-Source Java Projects
Yaroslav Golubev and Timofey Bryksin
October, 2021. Published in the proceedings of IWSC'21 (Workshop).
[C26] Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities
Dmitry Pogrebnoy, Ivan Kuznetsov, Yaroslav Golubev, Vladislav Tankov, and Timofey Bryksin
September, 2021. Published in the proceedings of ICSME'21 (A). 🏆 Best Tool Demo Award 🏆
[C25] One Thousand and One Stories: A Large-Scale Survey of Software Refactoring
Yaroslav Golubev, Zarina Kurbatova, Eman Abdullah AlOmar, Timofey Bryksin, and Mohamed Wiem Mkaouer
August, 2021. Published in the proceedings of ESEC/FSE'21 (A*).
[C24] Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering
Egor Bogomolov, Vladimir Kovalenko, Yurii Rebryk, Alberto Bacchelli, and Timofey Bryksin
August, 2021. Published in the proceedings of ESEC/FSE'21 (A*).
[C23] Unsupervised Learning of General-Purpose Embeddings for Code Changes
Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, and Timofey Bryksin
August, 2021. Published in the proceedings of MaLTeSQuE'21 (Workshop).
[P1] Changes from the Trenches: Should We Automate Them?
Yaroslav Golubev, Jiawei Li, Viacheslav Bushev, Timofey Bryksin, and Iftekhar Ahmed
May, 2021. Published on arXiv.
[C22] PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, and Timofey Bryksin
May, 2021. Published in the proceedings of MSR'21 (A).
[C21] TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks
Elena Lyulina, Anastasiia Birillo, Vladimir Kovalenko, and Timofey Bryksin
March, 2021. Published in the proceedings of SIGCSE'21 (A).
[C20] Multi-Threshold Token-Based Code Clone Detection
Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, and Timofey Bryksin
March, 2021. Published in the proceedings of SANER'21 (A).
[C19] Sosed: a Tool for Finding Similar Software Projects
Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, and Timofey Bryksin
September, 2020. Published in the proceedings of ASE'20 (A).
[C18] Building Implicit Vector Representations of Individual Coding Style
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, and Alberto Bacchelli
July, 2020. Published in the proceedings of CHASE'20 (Workshop).
[C17] Visualization of Methods Changeability Based on VCS Data
Sergey Svitkov and Timofey Bryksin
June, 2020. Published in the proceedings of MSR'20 (A).
[C16] A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub
Yaroslav Golubev, Maria Eliseeva, Nikita Povarov, and Timofey Bryksin
June, 2020. Published in the proceedings of MSR'20 (A).
[C15] Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler
Timofey Bryksin, Victor Petukhov, Ilya Alexin, Stanislav Prikhodko, Alexey Shpilman, Vladimir Kovalenko, and Nikita Povarov
June, 2020. Published in the proceedings of MSR'20 (A).
[C14] Recommendation of Move Method Refactoring Using Path-Based Representation of Code
Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev, and Timofey Bryksin
June, 2020. Published in the proceedings of IWoR'20 (Workshop).
[C13] Kotless: A Serverless Framework for Kotlin
Vladislav Tankov, Yaroslav Golubev, and Timofey Bryksin
November, 2019. Published in the proceedings of ASE'19 (A).
[C12] Automatic Classification of Error Types in Solutions to Programming Assignments at Online Learning Platform
Artyom Lobanov, Timofey Bryksin, and Alexey Shpilman
June, 2019. Published in the proceedings of AIED'19 (A).
[C11] Evaluation of Move Method Refactorings Recommendation Algorithms: Are We Doing It Right?
Evgenii Novozhilov, Ivan Veselov, Mikhail Pravilov, and Timofey Bryksin
May, 2019. Published in the proceedings of IWoR'19 (Workshop).
[C10] PathMiner: A Library for Mining of Path-Based Representations of Code
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, and Alberto Bacchelli
May, 2019. Published in the proceedings of MSR'19 (A).
[C9] Automatic Recommendation of Move Method Refactorings Using Clustering Ensembles
Timofey Bryksin, Evgenii Novozhilov, and Aleksei Shpilman
September, 2018. Published in the proceedings of IWoR'18 (Workshop).
[C8] Detecting Anomalies in Kotlin Code
Timofey Bryksin, Victor Petukhov, Kirill Smirenko, Nikita Povarov
July, 2018. Published in the proceedings of ML4PL'18 (Workshop).
[C7] Automated Refactoring of Object-Oriented Code Using Clustering Ensembles
Timofey Bryksin, Alexey Shpilman, and Daniel Kudenko
June, 2018. Published in the proceedings of NLP4SE'18 (Workshop).
[C6] Data-Based Code Synthesis in IntelliJ IDEA
Vladislav Tankov and Timofey Bryksin
April, 2018. Published in the proceedings of SEIM'18 (Regional).
[B1] How to Make Visual Modeling More Attractive to Software Developers
Andrey Terekhov, Timofey Bryksin, and Yurii Litvinov
September, 2017. Published in Present and Ulterior Software Engineering (Springer).
[C5] TRIK Studio: Technical Introduction
Dmitry Mordvinov, Yurii Litvinov, and Timofey Bryksin
April, 2017. Published in the proceedings of FRUCT'17 (Regional).
[C4] QReal:Robots, an Environment for Teaching Computer Science and Robotics in Schools
Andrey Terekhov, Yurii Litvinov, and Timofey Bryksin
October, 2013. Published in the proceedings of CEE-SECR'13 (Regional).
[C3] QReal DSM platform — An Environment for Creation of Specific Visual IDEs
Anastasiia Kuzenkova, Anna Deripaska, Timofey Bryksin, Yurii Litvinov, and Vladimir Polyakov
July, 2013. Published in the proceedings of ENASE'13 (B).
[C2] Multistroke Mouse Gestures Recognition in QReal metaCASE Technology
Maria Osechkina, Yuri Litvinov, and Timofey Bryksin
June, 2012. Published in the proceedings of SYRCoDIS'12 (Regional).
[C1] Ubiq Mobile + QReal – a Technology for Development of Distributed Mobile Services
Timofey Bryksin, Yurii Litvinov, Valentin Onossovski, and Andrey Terekhov
April, 2011. Published in the proceedings of FRUCT'11 (Regional).