Code review is an essential activity for ensuring the quality and maintainability of software
projects. However, it is a time-consuming and often error-prone task that can significantly …

Context: The rapid evolution of Large Language Models (LLMs) has sparked significant
interest in leveraging their capabilities for automating code review processes. Prior studies …

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

Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges
Page 1 46 IEEE SOFTWARE | PUBLISHED BY THE IEEE COMPUTER SOCIETY 0740-7459/24©2024IEEE …

Over the past decade, modern code review (MCR) has been deemed as a crucial practice of
software quality assurance, which is applied to improve software quality and transfer …

With the increasing security issues in the blockchain, smart contract vulnerability detection
has gradually become the focus of research. Recently, many approaches have been …

Users are increasingly being warned to check AI-generated content for correctness. Still, as
LLMs (and other generative models) generate more complex output, such as summaries …

Sequential decision-making processes (SDPs) are fundamental for complex real-world
challenges, such as autonomous driving, robotic control, and traffic management. While …

Stack Overflow is one of the most influential Software Question & Answer (SQA) websites,
hosting millions of programming-related questions and answers. Tags play a critical role in …

Software vulnerability assessment (SVA) has become increasingly important due to the
growing reliance on various software systems and the rising complexity of cyber threats …