Automated Program Repair (APR) attempts to patch software bugs and reduce manual
debugging efforts. Very recently, with the advances in Large Language Models (LLMs), an …

The increasing development of large language models (LLMs) in code generation has
drawn significant attention among researchers. To enhance LLM-based code generation …

Recent advances in large language models (LLMs) have shown significant potential to
automate various software development tasks, including code completion, test generation …

Despite its effectiveness in ensuring software quality, code review remains a labor-intensive
and time-consuming task. In order to alleviate this burden on developers, researchers have …

Automatic testing has garnered significant attention and success over the past few decades.
Techniques such as unit testing and coverage-guided fuzzing have revealed numerous …

A longstanding dream in software engineering research is to devise effective approaches for
automating development tasks based on developers' informally-specified intentions. Such …

Large language models (LLMs) and LLM-based Agents have been applied to fix bugs
automatically, demonstrating the capability in addressing software defects by engaging in …

Large Language Models for Code (LLMs4Code) have been found to exhibit outstanding
performance in the software engineering domain, especially the remarkable performance in …

Code search, which consists in retrieving relevant code snippets from a codebase based on
a given query, provides developers with useful references during software development …

Software vulnerability detection is crucial for high-quality software development. Recently,
some studies utilizing Graph Neural Networks (GNNs) to learn the graph representation of …