PathMiner: a library for mining of path-based representations of code. - Vladimir Kovalenko; Egor Bogomolov; Timofey Bryksin; Alberto Bacchelli (MSR, 2019)

Building Implicit Vector Representations of Individual Coding Style. - Vladimir Kovalenko; Egor Bogomolov; Timofey Bryksin; Alberto Bacchelli (ICSE (Workshops), 2020)

Sosed: a tool for finding similar software projects. - Egor Bogomolov; Yaroslav Golubev; Artyom Lobanov; Vladimir Kovalenko; Timofey Bryksin (ASE, 2020)

Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering. - Egor Bogomolov; Vladimir Kovalenko; Alberto Bacchelli; Timofey Bryksin (CoRR, 2020)

PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code. - Egor Spirin; Egor Bogomolov; Vladimir Kovalenko; Timofey Bryksin (MSR, 2021)

Authorship attribution of source code: a language-agnostic approach and applicability in software engineering. - Egor Bogomolov; Vladimir Kovalenko; Yurii Rebryk; Alberto Bacchelli; Timofey Bryksin (ESEC/SIGSOFT FSE, 2021)

Unsupervised learning of general-purpose embeddings for code changes. - Mikhail Pravilov; Egor Bogomolov; Yaroslav Golubev; Timofey Bryksin (MaLTeSQuE@ESEC/SIGSOFT FSE, 2021)

Assessing Project-Level Fine-Tuning of ML4SE Models. - Egor Bogomolov; Sergey Zhuravlev; Egor Spirin; Timofey Bryksin (CoRR, 2022)

Evaluating the Impact of Source Code Parsers on ML4SE Models. - Ilya Utkin; Egor Spirin; Egor Bogomolov; Timofey Bryksin (CoRR, 2022)

Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection. - Maksim Zubkov; Egor Spirin; Egor Bogomolov; Timofey Bryksin (CoRR, 2022)

So Much in So Little: Creating Lightweight Embeddings of Python Libraries. - Yaroslav Golubev; Egor Bogomolov; Egor Bulychev; Timofey Bryksin (CoRR, 2022)

From Commit Message Generation to History-Aware Commit Message Completion. - Aleksandra Eliseeva; Yaroslav Sokolov; Egor Bogomolov; Yaroslav Golubev; Danny Dig; Timofey Bryksin (ASE, 2023)

Predicting Tags For Programming Tasks by Combining Textual And Source Code Data. - Artyom Lobanov; Egor Bogomolov; Yaroslav Golubev; Mikhail Mirzayanov; Timofey Bryksin (CoRR, 2023)

Out of the BLEU: How should we assess quality of the Code Generation models? - Mikhail Evtikhiev; Egor Bogomolov; Yaroslav Sokolov; Timofey Bryksin (J. Syst. Softw., 2023)

Next-Generation Refactoring: Combining LLM Insights and IDE Capabilities for Extract Method. - Dorin Pomian; Abhiram Bellur; Malinda Dilhara; Zarina Kurbatova; Egor Bogomolov; Timofey Bryksin; Danny Dig (ICSME, 2024)

Tool-augmented LLMs as a Universal Interface for IDEs. - Yaroslav Zharov; Yury Khudyakov; Evgeniia Fedotova; Evgeny Grigorenko; Egor Bogomolov (IDE@ICSE, 2024)

EM-Assist: Safe Automated ExtractMethod Refactoring with LLMs. - Dorin Pomian; Abhiram Bellur; Malinda Dilhara; Zarina Kurbatova; Egor Bogomolov; Andrey Sokolov; Timofey Bryksin; Danny Dig (SIGSOFT FSE Companion, 2024)

Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring. - Dorin Pomian; Abhiram Bellur; Malinda Dilhara; Zarina Kurbatova; Egor Bogomolov; Timofey Bryksin; Danny Dig (CoRR, 2024)

Kotlin ML Pack: Technical Report. - Sergey Titov; Mikhail Evtikhiev; Anton Shapkin; Oleg Smirnov; Sergei Boytsov; Dariia Karaeva; Maksim Sheptyakov; Mikhail Arkhipov; Timofey Bryksin; Egor Bogomolov (CoRR, 2024)

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; Timofey Bryksin (CoRR, 2024)

Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code. - Timur Galimzyanov; Sergey Titov; Yaroslav Golubev; Egor Bogomolov (MSR, 2025)

EnvBench: A Benchmark for Automated Environment Setup. - Aleksandra Eliseeva; Alexander Kovrigin; Ilia Kholkin; Egor Bogomolov; Yaroslav Zharov (CoRR, 2025)

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git. - Tobias Lindenbauer; Egor Bogomolov; Yaroslav Zharov (CoRR, 2025)

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs. - Daniele Cipollone; Egor Bogomolov; Arie van Deursen; Maliheh Izadi (CoRR, 2025)