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Partial Projection of Sets Represented by Finite Automata, with Application to State-Space Visualization

机译:有限自动机表示的集合的部分投影及其在状态空间可视化中的应用

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This work studies automata-based symbolic data structures for representing infinite sets. Such structures are used in particular by verification tools in order to represent the sets of configurations handled during symbolic exploration of infinite state spaces. Our goal is to develop an efficient projection operator for these representations. There are several needs for such an operator during state-space exploration; we focus here on projecting the set of reachable configurations obtained at the end of exploration. An interesting application is the state-space visualization problem, which consists in providing the user with a graphical picture of a relevant fragment of the reachable state space.rnFor theoretical reasons, the projection of automata-represented sets is inherently costly. The contribution of this paper is to introduce an improved automata-based data structure that makes it possible to reduce in several cases the effective cost of projection. The idea is twofold. First, our structure allows to apply projection to only a part of an automaton, in cases where a full computation is not necessary. Second, the structure is able to store the results of past projection operations, and to reuse them in order to speed up subsequent computations. We show how our structure can be applied to the state-space visualization problem, and discuss some experimental results.
机译:这项工作研究基于自动机的符号数据结构来表示无限集。验证工具尤其使用这种结构,以表示在无限状态空间的符号探索期间处理的配置集。我们的目标是为这些表示开发有效的投影算子。在状态空间探索中,这样的操作者有多种需求。我们在这里重点介绍在探索结束时获得的一组可达到的配置。状态空间可视化问题是一个有趣的应用程序,它包括为用户提供可到达的状态空间的相关片段的图形化图片。出于理论原因,自动机表示的集合的投影本质上是昂贵的。本文的目的是介绍一种改进的基于自动机的数据结构,在某些情况下可以降低有效的投影成本。这个想法是双重的。首先,在不需要完全计算的情况下,我们的结构仅允许将投影应用于自动机的一部分。其次,该结构能够存储过去的投影操作的结果,并可以重用它们以加快后续计算的速度。我们展示了如何将我们的结构应用于状态空间可视化问题,并讨论了一些实验结果。

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