Abstract

Algebraic software is modeled as a set of equations representing its specification, and when each equation is directed either from left to right or from right to left, the resultant set of directed equations (or rewrite rules) is called a term rewriting system, which can be interpreted as a functional program executed by the pattern matching and term rewriting. In the field of formal verification of information systems, most of the properties of such a system are formalized as inductive theorems, which are equations over terms which hold on recursively-defined data structure such as natural numbers, lists and trees. Well-known as a method for inductive theorem proving is the Rewriting Induction (RI) proposed by Reddy. Recently, this method was extended by Sato and Kurihara to the Multi-context Rewriting Induction with termination checker (MRIt), which is a variant of RI to try to find a suitable context for induction automatically. However, MRIt should perform a large amount of termination checking of term rewriting systems, causing a significant efficiency bottleneck. In this paper, we propose a method of parallelizing the termination checkers used in MRIt to improve its efficiency by focusing on the well-known typical termination checking method based on the lexicographic path orders. For implementation, we used the functional concurrent programming language Erlang. We discuss the efficiency of our implementation based on the experiments with the standard set of termination problems.

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