Generating Property-Directed Potential Invariants By Backward Analysis

A. Champion, R. Delmas, M. Dierkes
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引用次数: 5

Abstract

This paper addresses the issue of lemma generation in a k-induction-based formal analysis of transition systems, in the linear real/integer arithmetic fragment. A backward analysis, powered by quantifier elimination, is used to output preimages of the negation of the proof objective, viewed as unauthorized states, or gray states. Two heuristics are proposed to take advantage of this source of information. First, a thorough exploration of the possible partitionings of the gray state space discovers new relations between state variables, representing potential invariants. Second, an inexact exploration regroups and over-approximates disjoint areas of the gray state space, also to discover new relations between state variables. k-induction is used to isolate the invariants and check if they strengthen the proof objective. These heuristics can be used on the first preimage of the backward exploration, and each time a new one is output, refining the information on the gray states. In our context of critical avionics embedded systems, we show that our approach is able to outperform other academic or commercial tools on examples of interest in our application field. The method is introduced and motivated through two main examples, one of which was provided by Rockwell Collins, in a collaborative formal verification framework.
用反向分析生成属性导向的势不变量
本文讨论了线性实/整数算术片段中基于k归纳的转换系统形式化分析中的引理生成问题。由量词消除驱动的反向分析用于输出证明目标否定的预图像,被视为未经授权的状态或灰色状态。提出了两种启发式方法来利用这一信息来源。首先,深入探索灰色状态空间的可能划分,发现状态变量之间的新关系,代表潜在的不变量。其次,不精确的探索重新组合和过度逼近灰色状态空间的不相交区域,也发现状态变量之间的新关系。用k归纳法分离不变量并检查它们是否加强了证明目标。这些启发式方法可以在反向探索的第一个原图像上使用,每次输出一个新的原图像,精炼灰色状态的信息。在我们的关键航空电子嵌入式系统的背景下,我们表明,我们的方法能够在我们的应用领域感兴趣的例子上优于其他学术或商业工具。该方法是通过两个主要的例子来介绍和激励的,其中一个是由罗克韦尔柯林斯公司提供的,在一个协作的形式验证框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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