3 papers
cs.SE2024
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
Jiaxin Yu, Peng Liang, Yujia Fu +4
Security code review is a time-consuming and labor-intensive process typically requiring integration with automated security defect detection tools. However, existing security anal…
cs.SE2024
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
Beiqi Zhang, Peng Liang, Qiong Feng +2
As one of the most popular dynamic languages, Python experiences a decrease in readability and maintainability when code smells are present. Recent advancements in Large Language M…
cs.SE2023
Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
Yujia Fu, Peng Liang, Amjed Tahir +4
Modern code generation tools utilizing AI models like Large Language Models (LLMs) have gained increased popularity due to their ability to produce functional code. However, their…