您的注释过时了吗?自动检测代码注释的一致性

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yuan Huang, Yinan Chen, Xiangping Chen, Xiaocong Zhou
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引用次数: 0

摘要

在软件开发和维护过程中,代码注释可以帮助开发人员理解源代码,改善开发人员之间的交流。然而,开发人员在修改代码时有时会忽略更新相应的注释,导致注释过时(即代码和注释不一致)。过时的注释是危险和有害的,可能会误导后续的开发人员。更严重的是,过时的注释可能会在将来的某个时候导致致命的缺陷。为了自动识别源代码中的过时注释,我们提出了一种基于学习的方法,称为 CoCC,用于检测代码与注释之间的一致性。为了有效识别过期注释,我们从代码和注释变化前后提取了多个特征。此外,我们还在模型中考虑了代码和注释之间的关系。实验结果表明,CoCC 可以有效检测过时注释,精确度超过 90%。此外,我们还找出了导致注释过时的 15 个最重要因素,并验证了 CoCC 在不同编程语言中的适用性。我们还使用 CoCC 查找了开源项目最新提交中的过时注释,这进一步证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are your comments outdated? Toward automatically detecting code‐comment consistency
In software development and maintenance, code comments can help developers understand source code and improve communication among developers. However, developers sometimes neglect to update the corresponding comment when changing the code, resulting in outdated comments (i.e., inconsistent codes and comments). Outdated comments are dangerous and harmful and may mislead subsequent developers. More seriously, the outdated comments may lead to a fatal flaw sometime in the future. To automatically identify the outdated comments in source code, we proposed a learning‐based method, called CoCC, to detect the consistency between code and comment. To efficiently identify outdated comments, we extract multiple features from both codes and comments before and after they change. Besides, we also consider the relation between code and comment in our model. Experiment results show that CoCC can effectively detect outdated comments with precision over 90%. In addition, we have identified the 15 most important factors that cause outdated comments and verified the applicability of CoCC in different programming languages. We also used CoCC to find outdated comments in the latest commits of open source projects, which further proves the effectiveness of the proposed method.
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来源期刊
Journal of Software-Evolution and Process
Journal of Software-Evolution and Process COMPUTER SCIENCE, SOFTWARE ENGINEERING-
自引率
10.00%
发文量
109
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