Accelerating Online Model Checking

Mona Qanadilo, Sufyan Samara, Yuhong Zhao
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引用次数: 6

Abstract

Online model checking is a lightweight verification technique to ensure at runtime the safety of the current execution trace of the system application under test. Doing model checking online suffers from the limited execution time allocated to each checking cycle. In this paper, we focus on accelerating online model checking so that as large the model space as possible can be explored in time. For this purpose, we introduce offline backward exploration so as to reduce the workload of online forward exploration. As a result, online model checking becomes online reach ability checking. SAT solver is used as verification engine for online model checking. We improve the performance of the SAT solver zChaff by optimizing and customizing zChaff with respect to the online model checking specific features. Moreover, we take advantage of the parallel feature and the multi-port memory available on FPGA chips. We present a new underlying architecture using 2 SAT solvers as verification engine for online model checking. We implement a quick prototype of the new underlying architecture for online model checking. Several experiments are done to test the performance of our online model checking.
加速在线模型检查
在线模型检查是一种轻量级的验证技术,用于在运行时确保被测系统应用程序的当前执行跟踪的安全性。在线进行模型检查受到分配给每个检查周期的有限执行时间的限制。在本文中,我们的重点是加速在线模型检查,以便及时探索尽可能大的模型空间。为此,我们引入离线后向勘探,以减少在线前向勘探的工作量。因此,在线模型检测就变成了在线到达能力检测。采用SAT求解器作为在线模型检测的验证引擎。针对在线模型检测的具体特征,对zChaff进行了优化和定制,提高了SAT求解器zChaff的性能。此外,我们还利用了FPGA芯片上的并行特性和多端口存储器。我们提出了一个新的底层架构,使用2个SAT求解器作为在线模型检查的验证引擎。我们实现了一个用于在线模型检查的新底层架构的快速原型。通过几个实验来测试我们的在线模型检测的性能。
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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