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Approximating Term Rewriting Systems: A Horn Clause Specification and Its Implementation

机译:近似术语重写系统:Horn子句规范及其实现

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We present a technique for approximating the set of reachable terms of a given term rewriting system starting from a given initial regular set of terms. The technique is based on previous work by other authors with the same goal, and yields a finite tree automaton recognising an over-approximation of the set of reachable terms. Our contributions are, firstly, to use Horn clauses to specify the transitions of a possibly infinite-state tree automaton defining (at least) the reachable terms. Apart from being a clear specification, the Horn clause model is the basis for further automatic approximations using standard logic program analysis techniques, yielding finite-state tree automata. The approximations are applied in two stages: first a regular approximation of the model of the given Horn clauses is constructed, and secondly a more precise relational abstraction is built using the first approximation. The analysis uses efficient representations based on BDDs, leading to more scalable implementations. We report on preliminary experimental results.
机译:我们提出了一种从给定的初始常规术语集开始近似给定术语重写系统的可达术语集的技术。该技术基于具有相同目标的其他作者的先前工作,并且产生了一个有限树自动机,该自动机识别出可到达项集的过度逼近。首先,我们的贡献是使用Horn子句来指定可能的无限状态树自动机的转换,该自动机定义(至少)可到达的项。除了明确的规范外,Horn子句模型是使用标准逻辑程序分析技术进行进一步自动逼近的基础,从而产生有限状态树自动机。近似分为两个阶段:首先构造给定Horn子句的模型的常规近似,其次,使用第一近似构建更精确的关系抽象。该分析使用基于BDD的有效表示,从而实现了更多可扩展的实现。我们报告初步的实验结果。

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