Simplify Array Processing Loops for Efficient Program Verification

Xiang Du, Liangze Yin, Wei Dong
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Abstract

Verification of large array programs is a major challenge for current program verification techniques due to large state spaces. Traditional methods such as bounded model checking often run out of time when verifying large array programs. To overcome the state explosion problem in the analysis of array programs, this paper proposes to simplify array processing loops for efficient program verification. For each array processing loop in an array program, we present a static analysis method to obtain a simplified loop for construction of a simplified program. The property checking of the simplified program can be used to approximate the original property. To evaluate the effectiveness and soundness, we implemented a tool based on our approach and tested it on SV-COMP 2019 benchmarks. The experimental results show that our method can successfully verify most program and achieve a high precision and effectiveness.
简化数组处理循环,高效程序验证
由于状态空间大,对大型数组程序的验证是当前程序验证技术的主要挑战。传统的有界模型检验等方法在验证大型数组程序时往往会超时。为了克服阵列程序分析中存在的状态爆炸问题,本文提出了简化阵列处理循环以提高程序验证效率的方法。对于数组程序中的每个数组处理循环,我们提出了一种静态分析方法,以获得简化循环,从而构建简化程序。简化程序的性质检查可以用来近似原性质。为了评估有效性和合理性,我们基于我们的方法实施了一个工具,并在SV-COMP 2019基准上进行了测试。实验结果表明,该方法能够成功地验证大部分程序,达到了较高的精度和有效性。
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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