Bryksin, Timofey

Out of the BLEU: how should we assess quality of the Code Generation models?

Evtikhiev, M., Bogomolov, E., Sokolov, Y., & Bryksin, T. (2023) · Journal of Systems and Software

Software Engineering ResearchTopic Modeling

Cited by 127

Using AI-based coding assistants in practice: State of affairs, perceptions, and ways forward

Sergeyuk, A., Golubev, Y., Bryksin, T., & Ahmed, I. (2025) · Information and Software Technology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 101

The IntelliJ Platform: A Framework for Building Plugins and Mining Software Data

Kurbatova, Z., Golubev, Y., Kovalenko, V., & Bryksin, T. (2021) · 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 17

Full Line Code Completion: Bringing AI to Desktop

Semenkin, A., Bibaev, V., Sokolov, Y., Krylov, K., Kalina, A., Khannanova, A., Savenkov, D., Rovdo, D., Davidenko, I., Karnaukhov, K., et al. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 8

Long code arena: a set of benchmarks for long-context code models

Bogomolov, E., Eliseeva, A., Galimzyanov, T., Glukhov, E., Shapkin, A., Tigina, M., Golubev, Y., Kovrigin, A., van Deursen, A., Izadi, M., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6