Testing for termination with monotonicity constraints

  • Authors:
  • Michael Codish;Vitaly Lagoon;Peter J. Stuckey

  • Affiliations:
  • Department of Computer Science, Ben-Gurion University, Israel;Department of Computer Science and Software Engineering, The University of Melbourne, Australia;Department of Computer Science and Software Engineering, The University of Melbourne, Australia

  • Venue:
  • ICLP'05 Proceedings of the 21st international conference on Logic Programming
  • Year:
  • 2005

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Abstract

Termination analysis is often performed over the abstract domains of monotonicity constraints or of size change graphs. First, the transition relation for a given program is approximated by a set of descriptions. Then, this set is closed under a composition operation. Finally, termination is determined if all of the idempotent loop descriptions in this closure have (possibly different) ranking functions. This approach is complete for size change graphs: An idempotent loop description has a ranking function if and only if it has one which indicates that some specific argument decreases in size. In this paper we generalize the size change criteria for size change graphs which are not idempotent. We also illustrate that proving termination with monotonicity constraints is more powerful than with size change graphs and demonstrate that the size change criteria is incomplete for monotonicity constraints. Finally, we provide a complete termination test for monotonicity constraints.