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Constraint-Based Invariant Inference overPredicate Abstraction

机译:基于约束的不变推论过度特征抽象

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This paper describes a constraint-based invariant generationtechnique for proving the validity of safety assertions over the domain ofpredicate abstraction in an interprocedural setting. The key idea of thetechnique is to represent each invariant in bounded DNF form by meansof boolean indicator variables, one for each predicate p and each disjunctd denoting whether p is present in d or not. The verification condition ofthe program is then encoded by means of a boolean formula over theseboolean indicator variables such that any satisfying assignment to theformula yields the inductive invariants for proving the validity of givenprogram assertions. This paper also describes how to use the constraint-based methodol-ogy for generating maximally-weak preconditions for safety assertions.An interesting application of maximally-weak precondition generationis to produce maximally-general counterexamples for safety assertions.We also present preliminary experimental evidence demonstrating thefeasibility of this technique.
机译:本文介绍了基于约束的不变生成技术,用于证明在进程间环境中的域名抽象域上的安全断言的有效性。 Thetechnique的关键概念是通过布尔指示器变量表示有界DNF形式的每个不变性,每个谓词p一个都是一个,每个探测器表示p是否存在于d中。然后,通过SPONOOLEAN指示器变量的布尔公式编码程序的验证条件,使得任何满足成本的分配会产生归纳不变,以证明给予授权的归因感的有效性。本文还介绍了如何使用基于约束的方法 - ogy用于产生安全断言的最大弱的前提。最大弱的前提金的应用程序以产生最大普通的反例,用于安全断言。我们还提出了初步实验证据这种技术的可行性。

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