用于分析C和c++项目中预处理器注释中的高阶特征交互的工具

David Korsman, C. Damasceno, D. Strüber
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引用次数: 0

摘要

功能交互是一种复杂的现象:它们可以为软件系统增加价值,但也会导致微妙的错误和复杂的突发行为。在实践中对特征交互有更清晰的理解可以帮助从业者为他们的系统选择合适的质量保证技术,也可以帮助研究人员指导进一步的研究工作。在本文中,我们提出了pdparser,一个基于python的工具,用于分析用C和c++预处理器开发的软件系统中的结构特征交互。我们的工具依赖于一种轻量级的方法来量化成对和高阶特性交互的频率,以及受它们影响的代码百分比。我们展示了通过对一个小示例和两个开源文本编辑器(Vim和Emacs)的自动分析所带来的个人特征。源代码和演示视频可在GitHub上获得https://github.com/dkorsman/pdparser。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A tool for analysing higher-order feature interactions in preprocessor annotations in C and C++ projects
Feature interactions are an intricate phenomenon: they can add value to software systems, but also lead to subtle bugs and complex, emergent behavior. Having a clearer understanding of feature interactions in practice can help practitioners to select appropriate quality assurance techniques for their systems and researchers to guide further research efforts. In this paper, we present pdparser, a Python-based tool for analysing structural feature interactions in software systems developed with C and C++ preprocessor. Our tool relies on a lightweight methodology to quantify the frequency of pairwise and higher-order feature interactions and the percentage of code affected by them. We showcase the individual characteristics brought forward by the automated analysis of one toy example and two open-source text editors: Vim and Emacs. The source code and a demo video are available on GitHub at https://github.com/dkorsman/pdparser.
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