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Compositional Reverification of Probabilistic Safety Properties for Large-Scale Complex IT Systems

机译:大规模复合IT系统的构图探讨概率安全性能

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Compositional verification has long been regarded as an effective technique for extending the use of symbolic model checking to large, component-based systems. This paper explores the effectiveness of the technique for large-scale complex IT systems (LSCITS). In particular, we investigate how compositional verification can be used to reverify LSCITS safety properties efficiently after the frequent changes that characterise these systems. We identify several LSCITS change patterns-including component failure, join and choice-and propose an approach that uses assume-guarantee compositional verification to reverify probabilistic safety properties compositionally in scenarios associated with these patterns. The application of this approach is illustrated using a case study from the area of cloud computing.
机译:长期以来一直被视为扩展使用符号模型检查到大型组成的系统的有效技术。本文探讨了大规模复杂IT系统(LSCITS)技术的有效性。特别是,我们调查如何在表征这些系统的频繁更改后有效地使用组成验证来探讨LSCITES安全性质。我们识别若干LSCits更改模式 - 包括组件故障,加入和选择 - 并提出一种使用假设 - 保证组成验证的方法,以便在与这些模式相关的情况下方案崇高概率安全性质。使用来自云计算区域的案例研究来说明这种方法的应用。

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