基于静态分析的软件错误配置自动诊断

Zhen Dong, M. Ghanavati, A. Andrzejak
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引用次数: 20

摘要

软件配置设置是定制应用程序的有效方法。但是,选项值的不一致或错误可能导致系统崩溃,需要花费大量时间和精力进行诊断。我们提出了一种技术来识别配置错误的根本原因。它使用静态程序分析将应用程序的错误配置链接到特定的配置选项。与现有的方法相比,我们的技术有两个突出的特点:它只依赖于静态分析,并且不需要具有正确配置的应用程序概要文件。基于提出的技术,我们开发了一个名为ConfDebugger的工具。我们在Java程序JChord中的8个配置错误上评估了它的有效性。ConfDebugger成功诊断了8个错误中的7个。其中5个准确定位了根本原因,没有出现假阳性,总的来说,平均假阳性数仅为0.5。这比两种最先进的方法要好,这两种方法的平均误报次数分别为1.7和5.7。
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Automated diagnosis of software misconfigurations based on static analysis
Software configuration settings are an effective way to customize applications. However, inconsistencies or mistakes in option values can result in a system crash and need huge time and effort to diagnose. We present a technique to identify the root causes of configuration errors. It uses static program analysis to link the misconfiguration of an application to a specific configuration option. Our technique has two prominent characteristics compared to existing approaches: it relies only on static analysis, and it does not need profiles of the application with correct configuration. Based on the proposed techniques, we developed a tool called ConfDebugger. We evaluated its effectiveness on 8 configuration errors in the Java program JChord. ConfDebugger successfully diagnosed 7 out of 8 errors. For 5 of them, root cause was exactly pinpointed without a false positive, and in total, the average number of false positives was only 0.5. This is better than two state-of-the-art methods, with average numbers of false positives of 1.7 and 5.7, respectively.
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