EUFicient Reachability in Software with Arrays

Denis Bueno, Arlen Cox, K. Sakallah
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引用次数: 2

Abstract

Whether representing strings, heap objects, or numerical vectors, arrays are pervasive in software. Unfortunately, while several software model checkers support arrays, they tend to struggle with many array-manipulating programs due to work expended generating theory lemmas that are ultimately irrelevant or redundant. By judicious abstraction of array operations to the logic of equality with uninterpreted functions (EUF), we show that we can directly reason about array reads and adaptively learn lemmas about array writes leading to significant performance improvements over existing approaches. We find that our model checker solves more than 100 more SV-COMP benchmarks than SPACER, a leading model checker.
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具有数组的软件的高效可达性
无论是表示字符串、堆对象还是数值向量,数组在软件中都无处不在。不幸的是,虽然有几个软件模型检查器支持数组,但由于生成最终不相关或冗余的理论引理所花费的工作,它们往往难以处理许多数组操作程序。通过明智地将数组操作抽象为与未解释函数(EUF)相等的逻辑,我们表明我们可以直接推断数组读取并自适应地学习关于数组写入的引理,从而比现有方法显著提高性能。我们发现我们的模型检查器比SPACER解决了100多个SV-COMP基准,SPACER是领先的模型检查器。
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