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ASE2024顶会

Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency

Yichi Zhang, Zixi Liu, Yang Feng, Baowen Xu

2024年份
4被引次数
5顶会引用

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.

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