Generalizing Specific-Instance Interpolation Proofs with SyGuS

Muqsit Azeem, Kumar Madhukar, R. Venkatesh
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引用次数: 1

Abstract

Proving correctness of programs is a challenging task, and consequently has been the focus of a lot of research. One way to break this problem down is to look at one execution path of the program, argue for its correctness, and see if the argument extends to the entire program. However, that may not often be the case, i.e. the proof of a given instance can be overly specific. In this paper, we propose a technique to generalize from such specific-instance proofs, to derive a correctness argument for the entire program. The individual proofs are obtained from an off-the-shelf interpolating prover, and we use Syntax-Guided Synthesis (SyGuS) to generalize the facts that constitute those proofs. Our initial experiment with a prototype tool shows that there is a lot of scope to guide the generalization engine to converge to a proof very quickly.
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用SyGuS推广特定实例插值证明
证明程序的正确性是一项具有挑战性的任务,因此一直是许多研究的焦点。解决这个问题的一种方法是查看程序的一个执行路径,论证其正确性,并查看该论证是否扩展到整个程序。然而,情况往往并非如此,即某一特定实例的证明可能过于具体。在本文中,我们提出了一种从这种具体实例证明中推广的技术,以导出整个程序的正确性参数。单个证明是从现成的插值证明器中获得的,并且我们使用语法引导合成(SyGuS)来概括构成这些证明的事实。我们对原型工具的初步实验表明,有很大的空间可以引导泛化引擎非常迅速地收敛到证明。
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