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

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 …

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 …

Ransomware and other forms of malware cause significant financial and operational
damage to organizations by exploiting long-standing and often difficult-to-detect software …

We introduce MPLSandbox, an out-of-the-box multi-programming language sandbox
designed to provide unified and comprehensive feedback from compiler and analysis tools …

Open-source software (OSS) has profoundly transformed the software development
paradigm by facilitating effortless code reuse. However, in recent years, there has been an …

The number of disclosed vulnerabilities in open-source projects has been increasing
steadily over the years, and thus it is important to deploy patches to repair vulnerabilities in a …

Code vulnerability detection (CVD) is essential for addressing and preventing system
security issues, playing a crucial role in ensuring software security. Previous learning-based …

Large Language Models (LLMs) have demonstrated remarkable proficiency across a variety
of complex tasks. One significant application of LLMs is in tackling software engineering …

Automatically resolving software issues is crucial for software development in practice,
impacting the software quality and user experience. The process of resolving real-world …