互联网环境下的混合静态分析细化方法

Dalin Zhang, Gang Yin, Dahai Jin, Yunzhan Gong, Tianshuang Wu, Hailong Zhang
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引用次数: 0

摘要

在本文中,我们提出了一种混合细化方法来提高静态分析的准确性。在前向数据流分析过程中保留条件约束信息,并以条件约束信息和路径条件作为约束求解器的输入,得到预警的可满足性;数据回归分析可以弥补抽象解释技术处理循环和库调用的能力。它已在我们的静态分析工具缺陷测试系统(DTS)中实现,并部署在internet软件环境trust上。在大量的C开源项目上的实验表明,这种策略有很大的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid static analysis refinement approach within internetware environment
In this paper, we propose a hybrid refinement approach to improve the accuracy of static analysis. It keeps condition constraints information during forward dataflow analysis and gets the satisfiability of a warning by a constraint solver taking as input such information and path conditions; data regression analysis can remedy the capability of handling loops and library calls of abstract interpretation technique. It has been implemented in our static analysis tool, Defect Testing System (DTS) and deployed on a internetware environment TRUSTIE. Experiment on a large number of C open source projects shows the great improvement this strategy makes.
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