Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Code completion serves as a fundamental aspect of modern software development,
improving developers' coding processes. Integrating code completion tools into an …

Software engineering research has always being concerned with the improvement of code
completion approaches, which suggest the next tokens a developer will likely type while …

This empirical study investigates the effectiveness of pair programming with GitHub Copilot
in comparison to human pair-programming. Through an experiment with 21 participants we …

Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

Deep learning (DL) techniques have been used to support several code-related tasks such
as code summarization and bug-fixing. In particular, pre-trained transformer models are on …

Software developers often repeat the same code changes within a project or across different
projects. These repetitive changes are known as “code change patterns”(CPATs) …

A recent study by Ahmed and Devanbu reported that using a corpus of code written in
multilingual datasets to fine-tune multilingual Pre-trained Language Models (PLMs) …

Code summarization, the task of generating useful comments given the code, has long been
of interest. Most of the existing code summarization models are trained and validated on …

The tremendous success of Stack Overflow has accumulated an extensive corpus of
software engineering knowledge, thus motivating researchers to propose various solutions …