The significant advancements in Large Language Models (LLMs) have resulted in their
widespread adoption across various tasks within Software Engineering (SE), including …

Actionable Warning Identification (AWI) plays a crucial role in improving the usability of static
code analyzers. With recent advances in Machine Learning (ML), various approaches have …

Sonatype's 2023 report found that 97% of developers and security leads integrate
generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), into their …

Software is prone to security vulnerabilities. Program analysis tools to detect them have
limited effectiveness in practice. While large language models (or LLMs) have shown …

Early identification of security issues in software development is vital to minimize their
unanticipated impacts. Code review is a widely used manual analysis method that aims to …

Despite various approaches being employed to detect software vulnerabilities, the number
of reported software vulnerabilities shows an upward trend over the years. This suggests the …

Software vulnerabilities pose significant security challenges and potential risks to society,
necessitating extensive efforts in automated vulnerability detection. There are two popular …

Most vulnerability detection studies focus on datasets of vulnerabilities in C/C++ code,
offering limited language diversity. Thus, the effectiveness of deep learning methods …

Architecture recovery tools help software engineers obtain an overview of the structure of
their software systems during all phases of the software development life cycle. This is …

Smart security devices, such as smart locks, smart cameras, and smart intruder alarms are
increasingly popular with users due to the enhanced convenience and new features that …