小的归纳安全不变量

A. Ivrii, A. Gurfinkel, A. Belov
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引用次数: 10

摘要

计算最小的(甚至是很小的)证书是自动推理中的一个中心问题,特别是在自动形式验证中。例如,最小不可满足子集(muse)在验证中有广泛的应用,从抽象和泛化到真空检测等等。本文研究了安全属性最小证书的计算问题。在这种设置中,证书是一组子句Inυ,这样每个子句都包含初始状态,并且它们的连接是安全的(没有坏状态)和归纳的。如果没有一个Inυ子集是安全和归纳的,那么证书是最小的。我们提出了一种计算Inv的最小安全归纳子集(MSIS)的两层方法。第一层是两种有效的近似算法,分别低于和过近似MSIS。第二层是从MSIS到最大归纳子集(MIS)计算序列的优化简化。我们在HWMCC基准和由我们的IC3变体生成的证书上评估我们的方法。我们表明,我们的方法比将MSIS简化为MIS的简单方法有效几个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small inductive safe invariants
Computing minimal (or even just small) certificates is a central problem in automated reasoning and, in particular, in automated formal verification. For example, Minimal Unsatisfiable Subsets (MUSes) have a wide range of applications in verification ranging from abstraction and generalization to vacuity detection and more. In this paper, we study the problem of computing minimal certificates for safety properties. In this setting, a certificate is a set of clauses Inυ such that each clause contains initial states, and their conjunction is safe (no bad states) and inductive. A certificate is minimal, if no subset of Inυ is safe and inductive. We propose a two-tiered approach for computing a Minimal Safe Inductive Subset (MSIS) of Inv. The first tier is two efficient approximation algorithms that under-and over-approximate MSIS, respectively. The second tier is an optimized reduction from MSIS to a sequence of computations of Maximal Inductive Subsets (MIS). We evaluate our approach on the HWMCC benchmarks and certificates produced by our variant of IC3. We show that our approach is several orders of magnitude more effective than the naive reduction of MSIS to MIS.
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