Publications

J — Journal papers. C — Conference papers. W — Workshop papers. P — Pre-prints and technical reports.

Machine learning for code

[J5] 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 the Journal of Systems and Software.

DOI arXiv Tool

[W2] Don’t Claim Benchmark-Oriented Optimization Improves General Coding Capability — Diverse Evaluation Is Required

Egor Shibaev, Vera Kudrevskaia, Timur Galimzyanov, Mikhail Evtikhiev, Ana Terna, Rastislav Rabatin, Timur Kudashev, Timofey Bryksin, Arina Puchkova, Patrik Bartak, Egor Bogomolov, and Sergey Titov
June, 2026. Accepted to NeurIPS Position Paper Track, 2026.

arXiv

[P1] Kotlin ML Pack: Technical Report

Sergey Titov, Mikhail Evtikhiev, Anton Shapkin, Oleg Smirnov, Sergei Boytsov, Dariia Karaeva, Maksim Sheptyakov, Mikhail Arkhipov, Timofey Bryksin, and Egor Bogomolov
May, 2024. arXiv (technical report).

arXiv

[C2] 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-NIER'23.

DOI arXiv

Software engineering

[J6] What Could Possibly Go Wrong: Undesirable Patterns in Collective Development

Mikhail Evtikhiev, Ekaterina Koshchenko, and Vladimir Kovalenko
February, 2025. Published in the ACM Transactions on Software Engineering and Methodology.

DOI arXiv

[C3] BFSig: Leveraging File Significance in Bus Factor Estimation

Vahid Haratian, Mikhail Evtikhiev, Pouria Derakhshanfar, Eray Tuzun, and Vladimir Kovalenko
November, 2023. Published in the proceedings of ESEC/FSE'23.

DOI

[C1] Bus factor in practice

Elgun Jabrayilzade, Mikhail Evtikhiev, Eray Tuzun, and Vladimir Kovalenko
May, 2022. Published in the proceedings of ICSE-SEIP'22.

DOI arXiv

[W1] TNM: A Tool for Mining of Socio-Technical Data from Git Repositories

Nikolai Sviridov, Mikhail Evtikhiev, and Vladimir Kovalenko
May, 2021. Published in the proceedings of MSR'21.

DOI arXiv Tool

Mikhail Evtikhiev

Publications

Machine learning for code

[J5] Out of the BLEU: How should we assess quality of the Code Generation models?

[W2] Don’t Claim Benchmark-Oriented Optimization Improves General Coding Capability — Diverse Evaluation Is Required

[P1] Kotlin ML Pack: Technical Report

[C2] Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks

Software engineering

[J6] What Could Possibly Go Wrong: Undesirable Patterns in Collective Development

[C3] BFSig: Leveraging File Significance in Bus Factor Estimation

[C1] Bus factor in practice

[W1] TNM: A Tool for Mining of Socio-Technical Data from Git Repositories

Theoretical physics

[J4] N = 3 SCFTs in 4 dimensions and non-simply laced groups

[J3] Little String Theories on Curved Manifolds

[J2] Studying superconformal symmetry enhancement through indices

[J1] On four dimensional N = 3 superconformal theories