基于迭代抽象解释的属性导向验证

Banghu Yin
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引用次数: 1

摘要

摘要基于抽象解释的静态分析是目前应用广泛的程序验证自动化方法之一,具有良好的可靠性和可扩展性。对凸和线性抽象域进行抽象解释的一个关键挑战是验证具有析取或非线性行为的复杂程序。我们的方法是以一种迭代的向前和向后的方式进行抽象的解释。它利用动态输入空间划分将输入空间划分为子空间。因此,每个子空间涉及较少的析取和非线性规划行为,并且更容易被验证。我们已经实施了我们的方法。实验结果是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Property Oriented Verification Via Iterative Abstract Interpretation
Static analysis by abstract interpretation is one of the widely used automatic approaches to program verification, due to its soundness guarantee and scalability. A key challenge for abstract interpretation with convex and linear abstract domain is verifying complex programs with disjunctive or non-linear behaviors. Our approach is conducting abstract interpretation in an iterative forward and backward manner. It utilizes dynamic input space partitioning to split the input space into sub-spaces. Thus each sub-space involves fewer disjunctive and non-linear program behaviors and is easier to be verified. We have implemented our approach. The experimental results are promising.
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