With the fast development of large software projects, automatic code summarization
techniques, which summarize the main functionalities of a piece of code using natural …

We report on the organization and results of the tool competition of the third International
Workshop on Natural Language-based Software Engineering (NLBSE'24). As in prior …

Code comments are one of the important documents to help developers review and
comprehend source code. In recent studies, researchers have proposed many deep …

Effective model management is crucial for ensuring performance and reliability in Machine
Learning (ML) systems, given the dynamic nature of data and operational environments …

Code summarization plays a pivotal role in the field of software engineering by offering
developers a concise natural language comprehension of source code semantics. As …

Code summarization is the task of creating short, natural language descriptions of source
code. It is an important part of code comprehension, and a powerful method of …

At present, the explosive growth of software code volume and quantity makes the code
review process very labor-intensive and time-consuming. An automated code review model …

Research in source code summarization, that is the description of the functionality of a
program with short sentences expressed in natural language, is a topic of great interest in …

Large language models (LLMs) bear great potential for automating tedious development
tasks such as creating and maintaining code documentation. However, it is unclear to what …

Documentation in codebases facilitates knowledge transfer. But tools for programming are
largely text-based, and so developers resort to creating ASCII diagrams—graphical artifacts …