Egor Bogomolov

According to our database, Egor Bogomolov authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tool-Augmented LLMs as a Universal Interface for IDEs.

Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov

CoRR, 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

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., September, 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

From Commit Message Generation to History-Aware Commit Message Completion.

Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov, Yaroslav Golubev, Danny Dig, Timofey Bryksin

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

So Much in So Little: Creating Lightweight Embeddings of Python Libraries.

Yaroslav Golubev, Egor Bogomolov, Egor Bulychev, 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

Evaluating the Impact of Source Code Parsers on ML4SE Models.

Ilya Utkin, Egor Spirin, Egor Bogomolov, Timofey Bryksin

CoRR, 2022

Assessing Project-Level Fine-Tuning of ML4SE Models.

Egor Bogomolov, Sergey Zhuravlev, Egor Spirin, Timofey Bryksin

CoRR, 2022

2021

Unsupervised learning of general-purpose embeddings for code changes.

Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, Timofey Bryksin

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 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

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code.

Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, Timofey Bryksin

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

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

Sosed: a tool for finding similar software projects.

Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Building Implicit Vector Representations of Individual Coding Style.

Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019

PathMiner: a library for mining of path-based representations of code.

Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli

Proceedings of the 16th International Conference on Mining Software Repositories, 2019