6 citations · 17 across the 16 of their papers we have counts for
16 papers
Assessing Consensus of Developers' Views on Code Readability
Agnia Sergeyuk, Olga Lvova, Sergey Titov +3
The rapid rise of Large Language Models (LLMs) has changed software development, with tools like Copilot, JetBrains AI Assistant, and others boosting developers' productivity. Howe…
Long Code Arena: a Set of Benchmarks for Long-Context Code Models
Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov +8
Nowadays, the fields of code and natural language processing are evolving rapidly. In particular, models become better at processing long context windows - supported context sizes…
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing
Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov +1
Recent advancements in code-fluent Large Language Models (LLMs) enabled the research on repository-level code editing. In such tasks, the model navigates and modifies the entire co…
Reassessing Java Code Readability Models with a Human-Centered Approach
Agnia Sergeyuk, Olga Lvova, Sergey Titov +4
To ensure that Large Language Models (LLMs) effectively support user productivity, they need to be adjusted. Existing Code Readability (CR) models can guide this alignment. However…
Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring
Dorin Pomian, Abhiram Bellur, Malinda Dilhara +4
Long methods that encapsulate multiple responsibilities within a single method are challenging to maintain. Choosing which statements to extract into new methods has been the targe…
From Commit Message Generation to History-Aware Commit Message Completion
Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov +3
Commit messages are crucial to software development, allowing developers to track changes and collaborate effectively. Despite their utility, most commit messages lack important in…