通过语义融合验证SMT求解器

Dominik Winterer, Chengyu Zhang, Z. Su
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引用次数: 52

摘要

我们介绍语义融合,一个通用的,有效的方法来验证可满足模理论(SMT)求解。我们的关键思想是将两个现有的可满足的(即可满足的或不可满足的)公式融合成一个新的公式,以一种新颖的方式结合其祖先的结构,并通过构造保持可满足性。然后使用此融合公式验证SMT求解器。我们将语义融合作为一款实用的SMT求解器测试工具YinYang实现。在四个月的广泛测试中,银阳在Z3和CVC4这两个最先进的SMT求解器的默认算法和字符串求解器中发现了45个已确认的独特bug。其中41个已经被开发者修复。这些bug中的大多数(29/45)暴露了关键的可靠性问题。我们的错误报告和测试工作得到了SMT求解器开发人员的赞赏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validating SMT solvers via semantic fusion
We introduce Semantic Fusion, a general, effective methodology for validating Satisfiability Modulo Theory (SMT) solvers. Our key idea is to fuse two existing equisatisfiable (i.e., both satisfiable or unsatisfiable) formulas into a new formula that combines the structures of its ancestors in a novel manner and preserves the satisfiability by construction. This fused formula is then used for validating SMT solvers. We realized Semantic Fusion as YinYang, a practical SMT solver testing tool. During four months of extensive testing, YinYang has found 45 confirmed, unique bugs in the default arithmetic and string solvers of Z3 and CVC4, the two state-of-the-art SMT solvers. Among these, 41 have already been fixed by the developers. The majority (29/45) of these bugs expose critical soundness issues. Our bug reports and testing effort have been well-appreciated by SMT solver developers.
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