ソフトウェアエンジニアリングにおける機械学習の適用法

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プロジェクト

E. Bogomolov

Astminer

A. Lobanov, E. Bogomolov, Y. Golubev

Codeforces Tags Prediction

A. Birillo, M. Tigina, Y. Golubev

Hyperstyle

V. Tankov

Kotless

A. Birillo, Y. Golubev, M. Tigina, A. Vlasova

Lupa

V. Tankov, A. Birillo

Reflekt

E. Bogomolov, O. Petrova, M. Evtikheev

Large-scale pre-training of graph neural networks for ML4SE tasks

M. Evtikheev, E. Bogomolov

Evaluation of performance metrics for code generation models

Mikhail Evtikheev, Egor Bogomolov

Evaluation of existing optimization methods for neural networks

A. Eliseeva, E. Bogomolov

Completion of commit messages

E. Bogomolov

Per-project fine-tuning of neural models

E. Bogomolov

IRen

E. Bogomolov

Detecting and updating inconsistent code comments

E. Bogomolov, O. Petrova

Type inference in Python

D. Litvinov

Generation of SQL queries from natural language

S. Titov, Y. Golubev

Large-scale analysis of Jupyter Notebooks

S. Titov

Code clone analysis in Jupyter notebooks

S. Titov, Y. Golubev

Non-linear Jupyter notebooks

S. Titov, Y. Golubev

Overcoming the Mental Set effect

S. Titov

Attention in programming

O. Smirnov

Code reachability study

A. Birillo, M. Tigina

Predicting static analyzer output with machine learning

A. Birillo, M. Tigina, A. Lobanov

Clustering MOOC submissions

O. Smirnov, V. Tankov

Paddle

A. Tuchina, V. Tankov

KInference

M. Tigina

Commit cleaner

M. Tigina

KotlinRMiner

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