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Complete Symbolic Reachability Analysis Using Back-and-Forth Narrowing

  • Prasanna Thati
  • José Meseguer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3629)

Abstract

We propose a method called back-and-forth narrowing for solving reachability goals of the form \((\exists^\rightarrow_{x}).t_{1}\rightarrow*t'_{1}\wedge...\wedge t_{n}\rightarrow * t'_{n}\) in general term rewrite systems. The method is a complete semi-decision procedure in the sense that it is guaranteed to find a solution when one exists, but in general it may not terminate when there are no solutions. The completeness result is very general in that it makes no assumptions about the given term rewrite system. Specifically, the rewrite rules need not be linear, confluent, or terminating, and can even have extra-variables in the righthand side. Such generality is often essential while modeling concurrent systems or axiomatizing inference systems as rewrite rules, and in such applications back-and-forth narrowing can be used as a sound and complete technique for symbolic reachability analysis or as a deductive procedure for proving existential formulae.

Keywords

Reachability Analysis Tree Automaton Extra Variable Existential Formula Reachability Goal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Prasanna Thati
    • 1
  • José Meseguer
    • 2
  1. 1.Carnegie Mellon UniversityUSA
  2. 2.University of Illinois at Urbana-ChampaignUSA

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