Exploring parallel formal verification of BIG-DATA systems

Fernando Asteasuain, Luciana Rodriguez Caldeira
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Abstract

Software Engineering is trying to adapt its tools, mechanisms and techniques to cope with the challenges involved when developing BIG DATA software systems. In particular, formal verification in one of the areas that more urgently is required to step in. In this work we introduce two crucial aspects to consolidate the FVS tool to tackle this issue. For one side, FVS’s parallel algorithm is proved to be sound and correct. For the other side, we developed a compelling empirical validation of our approach, employing a communication protocol relevant in the industrial world within a context of parallel systems, introducing a load-balancer process and comparing several implementations.
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探索大数据系统的并行形式验证
软件工程正试图调整其工具、机制和技术,以应对开发大数据软件系统时所涉及的挑战。特别是在一个更迫切需要介入的领域进行正式核查。在这项工作中,我们介绍了两个关键方面来巩固FVS工具来解决这个问题。一方面,证明了FVS并行算法的合理性和正确性。另一方面,我们对我们的方法进行了令人信服的经验验证,在并行系统的上下文中采用了与工业世界相关的通信协议,引入了负载平衡器过程并比较了几种实现。
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