ConfigFile++: Automatic comment enhancement for misconfiguration prevention

Yuanliang Zhang, Shanshan Li, Xiangyang Xu, Xiangke Liao, Shazhou Yang, Yun Xiong
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Abstract

Nowadays, misconfiguration has become one of the key factors leading to system problems. Most current research on the topic explores misconfiguration diagnosis, but is less concerned with educating users about how to configure correctly in order to prevent misconfiguration before it happens. In this paper, we manually study 22 open source software projects and summarize several observations on the comments of their configuration files, most of which lack sufficient information and are poorly formatted. Based on these observations and the general process of misconfiguration diagnosis, we design and implement a tool called ConfigFile++ that automatically enhances the comment in configuration files. By using name-based analysis and machine learning, ConfigFile++ extracts guiding information about the configuration option from the user manual and source code, and inserts it into the configuration files. The format of insert comment is also designed to make enhanced comments concise and clear. We use real-world examples of misconfigurations to evaluate our tool. The results show that ConfigFile++ can prevent 33 out of 50 misconfigurations.
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configfile++:自动注释增强,防止错误配置
目前,配置错误已成为导致系统问题的关键因素之一。目前关于该主题的大多数研究都探讨了错误配置诊断,但很少关注如何教育用户正确配置,以便在错误配置发生之前防止错误配置。在本文中,我们手工研究了22个开源软件项目,并总结了对其配置文件注释的几个观察结果,其中大多数缺乏足够的信息并且格式很差。基于这些观察和错误配置诊断的一般过程,我们设计并实现了一个名为configfile++的工具,该工具可以自动增强配置文件中的注释。通过使用基于名称的分析和机器学习,configfile++从用户手册和源代码中提取关于配置选项的指导信息,并将其插入到配置文件中。插入注释的格式也是为了使增强的注释简洁明了而设计的。我们使用错误配置的真实例子来评估我们的工具。结果表明,在50个错误配置中,configfile++可以防止33个错误配置。
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