非线性算法和可变数据结构的量化断言验证方法

Xia Li, Yunjie Yu
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引用次数: 0

摘要

形式化验证是提高软件高置信度的重要手段。然而,由于定理证明者的证明能力不足,它还不能广泛应用于工业应用。本文的工作重点是对描述程序属性的量化断言进行验证,验证过程基于验证原型系统。针对量化断言验证中的非线性算法,提出了分割合并方法,对程序的量化断言进行变换,保留原有信息,生成新的量化断言,从而可以由自动定理证明器进行证明。针对具有多个量化可变数据结构断言的指针程序,提出了一种分组方法,它有助于自动定理发现可变数据结构断言之间的关联和性质。实验结果表明,该验证原型系统能够有效解决程序验证中量化断言验证的非线性算法问题和可变数据结构问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantified Assertion Verification Method for Non-linear Arithmetic and Mutable Data Structures
Formal verification is an important method to improve the high-confidence of software. However, it cannot be widely used for applications in the industry yet, mainly because of the insufficient proof power of theorem provers. The work of this paper focuses on the verification of quantified assertions describing program properties, and the verification process is based on the verification prototype system. For non-linear arithmetic in the quantified assertions verification, the Splitting-and-Merging method is proposed to transform the quantified assertions about the program, preserving original information and generating new quantified assertions, so that can be proved by automatic theorem prover. A Grouping method is proposed for the pointer programs with multiple quantified assertions of mutable data structures, it helps automatic theorem discover the association and properties between assertions of mutable data structures. Experimental results show that the verification prototype system can effectively solve the non-linear arithmetic problem and mutable data structures problem of the quantified assertions verification in program verification.
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