Search Results for author: Vladimir Kovalenko

Found 6 papers, 5 papers with code

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

1 code implementation23 Mar 2021 Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, Timofey Bryksin

PSI trees contain code syntax trees as well as functions to work with them, and therefore can be used to enrich code representation using static analysis algorithms of modern IDEs.

Method name prediction

TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks

1 code implementation9 Dec 2020 Elena Lyulina, Anastasiia Birillo, Vladimir Kovalenko, Timofey Bryksin

To validate and showcase the toolkit, we present a dataset collected by our tools.

Software Engineering D.2.2; K.3.2

Sosed: a tool for finding similar software projects

2 code implementations6 Jul 2020 Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko, Timofey Bryksin

We use a dataset of 9 million GitHub projects as a reference search base.

Software Engineering

Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler

1 code implementation3 Apr 2020 Timofey Bryksin, Victor Petukhov, Ilya Alexin, Stanislav Prikhodko, Alexey Shpilman, Vladimir Kovalenko, Nikita Povarov

In this work, we apply anomaly detection to source code and bytecode to facilitate the development of a programming language and its compiler.

Anomaly Detection

Building Implicit Vector Representations of Individual Coding Style

2 code implementations10 Feb 2020 Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, Alberto Bacchelli

With the goal of facilitating team collaboration, we propose a new approach to building vector representations of individual developers by capturing their individual contribution style, or coding style.

Software Engineering Social and Information Networks

Classifiers for centrality determination in proton-nucleus and nucleus-nucleus collisions

no code implementations30 Nov 2016 Igor Altsybeev, Vladimir Kovalenko

Centrality, as a geometrical property of the collision, is crucial for the physical interpretation of nucleus-nucleus and proton-nucleus experimental data.

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