基于语法树的C/ c++代码静态检测研究

Xiaochen Lai, Kuanjiu Zhou, P. Qiu
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引用次数: 0

摘要

为了减少软件静态分析中的冗余信息,提高信息提取的准确性和效率,提出了一种基于关系存储模式的语法树模型。对终端之间的依赖关系进行建模,可以有效地减少信息冗余,并且可以以XML (eXtensible Markup Language,可扩展标记语言)格式存储。利用成熟的XML解析技术,提出了一种基于XML模型的静态检测方法,并将其应用于程序规范中。实验结果表明:该方法不仅提高了检测效率,而且提高了检测精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on C/C++ Code Static Detection Based on Syntax Tree
To reduce the redundant information in software static analysis and improve the accuracy and efficiency of the information extraction, this paper proposed a syntax trees model based on relational storage mode. Modeling on dependency relationship between terminals will effectively reduce the information redundancy and can be stored in XML (eXtensible Markup Language) format. Using the mature XML parsing technique, a new static detection method based on XML model is put forward and applied to program norm. Experimental results show that: the method not only improves the detection efficiency but also increases the detection accuracy.
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