5 citations · 6 across the 4 of their papers we have counts for
4 papers
So Much in So Little: Creating Lightweight Embeddings of Python Libraries
Yaroslav Golubev, Egor Bogomolov, Egor Bulychev +1
In software engineering, different approaches and machine learning models leverage different types of data: source code, textual information, historical data. An important part of…
Identifying collaborators in large codebases
Waren Long, Vadim Markovtsev, Hugo Mougard +2
The way developers collaborate inside and particularly across teams often escapes management's attention, despite a formal organization with designated teams being defined. Observa…
STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms
Vadim Markovtsev, Waren Long, Hugo Mougard +2
Source code reviews are manual, time-consuming, and expensive. Human involvement should be focused on analyzing the most relevant aspects of the program, such as logic and maintain…
Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network
Vadim Markovtsev, Waren Long, Egor Bulychev +3
Programmers make rich use of natural language in the source code they write through identifiers and comments. Source code identifiers are selected from a pool of tokens which are s…