ASE2024
Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency
Yichi Zhang, Zixi Liu, Yang Feng, Baowen Xu
被引用 4 次
摘要
Rust is renowned for its robust memory safety capabilities, yet its distinctive memory management model poses substantial challenges in both writing and understanding programs. Within Rust source code, comments are employed to clearly delineate conditions that might cause panic behavior, thereby warning developers about potential hazards associated with specific operations. Therefore, comments are particularly crucial for documenting Rust's program logic and design. Nevertheless, as modern software frequently undergoes updates and modifications, maintaining the accuracy and relevance of these comments becomes a labor-intensive endeavor.