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

Transformers have gained popularity in the software engineering (SE) literature. These deep
learning models are usually pre-trained through a self-supervised objective, meant to …

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 Engineering (SE) is the systematic design, development, and maintenance of
software applications, underpinning the digital infrastructure of our modern mainworld. Very …

Commit messages are crucial to software development, allowing developers to track
changes and collaborate effectively. Despite their utility, most commit messages lack …

In software development and maintenance, code comments can help developers
understand source code and improve communication among developers. However …

Just-in-time comment update is a promising way to reduce the burden of developers during
software maintenance and evolution. Existing approaches can be divided into two …

Transformer-based pre-trained models have recently achieved great results in solving many
software engineering tasks including automatic code completion which is a staple in a …

Large Language Models (LLMs) are increasingly becoming fundamental in supporting
software developers in coding tasks. The massive datasets used for training LLMs are often …

Identifiers, such as method and variable names, form a large portion of source code.
Therefore, low-quality identifiers can substantially hinder code comprehension. To support …