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Yaroslav Golubev
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2020 – today
- 2025
- [j2]Agnia Sergeyuk
, Yaroslav Golubev
Using AI-based coding assistants in practice: State of affairs, perceptions, and ways forward. Inf. Softw. Technol. 178: 107610 (2025) - 2024
- [c26]Anna Potriasaeva
Using a Low-Code Environment to Teach Programming in the Era of LLMs. ICER (2) 2024: 542-543 - [c25]Anastasiia Birillo
One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks. Koli Calling 2024: 9:1-9:12 - [c24]Elizaveta Artser
Clustering MOOC Programming Solutions to Diversify Their Presentation to Students. Koli Calling 2024: 19:1-19:8 - [e1]Alexander Bezzubov, Danny Dig, Timofey Bryksin, Yaroslav Golubev:
Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments, IDE 2024, Lisbon, Portugal, 20 April 2024. ACM 2024, ISBN 979-8-4007-0580-9 [contents] - [i35]Elizaveta Artser, Anastasiia Birillo, Yaroslav Golubev, Maria Tigina, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin:
Clustering MOOC Programming Solutions to Diversify Their Presentation to Students. CoRR abs/2403.19398 (2024) - [i34]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, Timofey Bryksin:
Full Line Code Completion: Bringing AI to Desktop. CoRR abs/2405.08704 (2024) - [i33]Agnia Sergeyuk, Yaroslav Golubev, Timofey Bryksin, Iftekhar Ahmed:
Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward. CoRR abs/2406.07765 (2024) - [i32]Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov, Evgeniy Glukhov, Anton Shapkin, Maria Tigina, Yaroslav Golubev, Alexander Kovrigin, Arie van Deursen, Maliheh Izadi, Timofey Bryksin:
Long Code Arena: a Set of Benchmarks for Long-Context Code Models. CoRR abs/2406.11612 (2024) - [i31]Anastasiia Birillo, Elizaveta Artser, Anna Potriasaeva, Ilya Vlasov, Katsiaryna Dzialets, Yaroslav Golubev, Igor Gerasimov, Hieke Keuning, Timofey Bryksin:
One Step at a Time: Combining LLMs and Static Analysis to Generate Next-Step Hints for Programming Tasks. CoRR abs/2410.09268 (2024) - [i30]Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov:
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings. CoRR abs/2410.12046 (2024) - 2023
- [j1]Eman Abdullah AlOmar
Just-in-time code duplicates extraction. Inf. Softw. Technol. 158: 107169 (2023) - [c23]Maria Tigina, Anastasiia Birillo, Yaroslav Golubev, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin:
Analyzing the Quality of Submissions in Online Programming Courses. SEET@ICSE 2023: 271-282 - [c22]Anastasiia Birillo
Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses. ITiCSE (1) 2023: 152-158 - [c21]Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, Timofey Bryksin:
From Commit Message Generation to History-Aware Commit Message Completion. ASE 2023: 723-735 - [c20]Konstantin Grotov, Sergey Titov, Alexandr Suhinin, Yaroslav Golubev, Timofey Bryksin:
Optimizing Duplicate Size Thresholds in IDEs. MSR 2023: 470-471 - [i29]Artyom Lobanov, Egor Bogomolov
Predicting Tags For Programming Tasks by Combining Textual And Source Code Data. CoRR abs/2301.04597 (2023) - [i28]Maria Tigina, Anastasiia Birillo, Yaroslav Golubev, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin:
Analyzing the Quality of Submissions in Online Programming Courses. CoRR abs/2301.11158 (2023) - [i27]Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Dilip Kini, Aditya Thakur:
Just-in-Time Code Duplicates Extraction. CoRR abs/2302.03416 (2023) - [i26]Konstantin Grotov, Sergey Titov, Alexandr Suhinin, Yaroslav Golubev, Timofey Bryksin:
Optimizing Duplicate Size Thresholds in IDEs. CoRR abs/2303.13247 (2023) - [i25]Anastasiia Birillo, Elizaveta Artser, Yaroslav Golubev, Maria Tigina, Hieke Keuning, Nikolay Vyahhi, Timofey Bryksin:
Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses. CoRR abs/2304.12376 (2023) - [i24]Agnia Sergeyuk, Sergey Titov, Yaroslav Golubev, Timofey Bryksin:
Overcoming the Mental Set Effect in Programming Problem Solving. CoRR abs/2307.06673 (2023) - [i23]Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, Timofey Bryksin:
From Commit Message Generation to History-Aware Commit Message Completion. CoRR abs/2308.07655 (2023) - 2022
- [c19]Eman Abdullah AlOmar
AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. ASE 2022: 152:1-152:4 - [c18]Konstantin Grotov, Sergey Titov, Vladimir Sotnikov
A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts. MSR 2022: 353-364 - [c17]Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, Timofey Bryksin:
Lupa: A Framework for Large Scale Analysis of the Programming Language Usage. MSR 2022: 398-402 - [c16]Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov
All you need is logs: improving code completion by learning from anonymous IDE usage logs. ESEC/SIGSOFT FSE 2022: 1269-1279 - [c15]Denis Sushentsev, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, Timofey Bryksin:
DAPSTEP: Deep Assignee Prediction for Stack Trace Error rePresentation. SANER 2022: 184-195 - [c14]Sergey Titov, Yaroslav Golubev, Timofey Bryksin:
ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells. SANER 2022: 492-496 - [i22]Denis Sushentsev, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, Timofey Bryksin:
DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation. CoRR abs/2201.05256 (2022) - [i21]Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, Timofey Bryksin:
Lupa: A Framework for Large Scale Analysis of the Programming Language Usage. CoRR abs/2203.09658 (2022) - [i20]Konstantin Grotov, Sergey Titov, Vladimir Sotnikov, Yaroslav Golubev, Timofey Bryksin:
A Large-Scale Comparison of Python Code in Jupyter Notebooks and Scripts. CoRR abs/2203.16718 (2022) - [i19]Nikolay Karasov, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, Timofey Bryksin:
Aggregation of Stack Trace Similarities for Crash Report Deduplication. CoRR abs/2205.00212 (2022) - [i18]Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov, Yaroslav Golubev, Alexander Bezzubov, Nikita Povarov, Timofey Bryksin:
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs. CoRR abs/2205.10692 (2022) - [i17]Yaroslav Golubev, Egor Bogomolov
So Much in So Little: Creating Lightweight Embeddings of Python Libraries. CoRR abs/2209.03507 (2022) - 2021
- [c13]Dmitry Pogrebnoy, Ivan Kuznetsov, Yaroslav Golubev
Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities. ICSME 2021: 574-578 - [c12]Yaroslav Golubev
On the Nature of Code Cloning in Open-Source Java Projects. IWSC 2021: 22-28 - [c11]Zarina Kurbatova, Yaroslav Golubev
The IntelliJ Platform: A Framework for Building Plugins and Mining Software Data. ASE Workshops 2021: 14-17 - [c10]Tongjie Wang, Yaroslav Golubev
PyNose: A Test Smell Detector For Python. ASE 2021: 593-605 - [c9]Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev
Infrastructure in Code: Towards Developer-Friendly Cloud Applications. ASE 2021: 1166-1170 - [c8]Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev
Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching. ASE 2021: 1242-1246 - [c7]Mikhail Pravilov, Egor Bogomolov
Unsupervised learning of general-purpose embeddings for code changes. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 7-12 - [c6]Yaroslav Golubev
One thousand and one stories: a large-scale survey of software refactoring. ESEC/SIGSOFT FSE 2021: 1303-1313 - [c5]Yaroslav Golubev
Multi-threshold token-based code clone detection. SANER 2021: 496-500 - [i16]Yaroslav Golubev, Jiawei Li, Timofey Bryksin, Viacheslav Bushev, Iftekhar Ahmed:
Changes from the Trenches: Should We Automate Them? CoRR abs/2105.10157 (2021) - [i15]Vladislav Tankov, Yaroslav Golubev, Timofey Bryksin:
Kotless: a Serverless Framework for Kotlin. CoRR abs/2105.13866 (2021) - [i14]Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, Timofey Bryksin:
Unsupervised Learning of General-Purpose Embeddings for Code Changes. CoRR abs/2106.02087 (2021) - [i13]Yaroslav Golubev, Timofey Bryksin:
On the Nature of Code Cloning in Open-Source Java Projects. CoRR abs/2107.04712 (2021) - [i12]Yaroslav Golubev, Zarina Kurbatova, Eman Abdullah AlOmar, Timofey Bryksin, Mohamed Wiem Mkaouer:
One Thousand and One Stories: A Large-Scale Survey of Software Refactoring. CoRR abs/2107.07357 (2021) - [i11]Dmitry Pogrebnoy, Ivan Kuznetsov, Yaroslav Golubev, Vladislav Tankov, Timofey Bryksin:
Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities. CoRR abs/2107.13315 (2021) - [i10]Tongjie Wang, Yaroslav Golubev, Oleg Smirnov, Jiawei Li, Timofey Bryksin, Iftekhar Ahmed:
PyNose: A Test Smell Detector For Python. CoRR abs/2108.04639 (2021) - [i9]Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, Timofey Bryksin:
Infrastructure in Code: Towards Developer-Friendly Cloud Applications. CoRR abs/2108.07842 (2021) - [i8]Oleg Smirnov, Artyom Lobanov, Yaroslav Golubev, Elena Tikhomirova, Timofey Bryksin:
Revizor: A Data-Driven Approach to Automate Frequent Code Changes Based on Graph Matching. CoRR abs/2108.11199 (2021) - [i7]Zarina Kurbatova, Yaroslav Golubev, Vladimir Kovalenko, Timofey Bryksin:
The IntelliJ Platform: a Framework for Building Plugins and Mining Software Data. CoRR abs/2110.00141 (2021) - [i6]Sergey Titov, Yaroslav Golubev, Timofey Bryksin:
ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells. CoRR abs/2112.14825 (2021) - [i5]Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Andrey Kirilenko, Timofey Bryksin:
AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. CoRR abs/2112.15230 (2021) - 2020
- [c4]Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev
Recommendation of Move Method Refactoring Using Path-Based Representation of Code. ICSE (Workshops) 2020: 315-322 - [c3]Egor Bogomolov
Sosed: a tool for finding similar software projects. ASE 2020: 1316-1320 - [c2]Yaroslav Golubev
A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub. MSR 2020: 54-64 - [i4]Yaroslav Golubev, Viktor Poletansky, Nikita Povarov, Timofey Bryksin:
Multi-Objective Optimization for Token-Based Clone Detection. CoRR abs/2002.05204 (2020) - [i3]Yaroslav Golubev, Maria Eliseeva, Nikita Povarov, Timofey Bryksin:
A Study of Potential Code Borrowing and License Violations in Java Projects on GitHub. CoRR abs/2002.05237 (2020) - [i2]Zarina Kurbatova, Ivan Veselov, Yaroslav Golubev, Timofey Bryksin:
Recommendation of Move Method Refactoring Using Path-Based Representation of Code. CoRR abs/2002.06392 (2020) - [i1]Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin:
Sosed: a tool for finding similar software projects. CoRR abs/2007.02599 (2020)
2010 – 2019
- 2019
- [c1]Vladislav Tankov
Kotless: A Serverless Framework for Kotlin. ASE 2019: 1110-1113
Coauthor Index
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