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International Conference on Principles and Practice of Constraint Programming

CP 1997: Principles and Practice of Constraint Programming-CP97 pp 62–76Cite as

Solving classes of set constraints with tree automata

  • Session 2a
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1330))

Abstract

Set constraints is a suitable formalism for static analysis of programs. However, it is known that the complexity of set constraint problems in the most general cases is very high (NEXPTIME-completeness of the satisfiability test). Lots of works are involved in finding more tractable subclasses.

In this paper, we investigate two classes of set constraints shown to be useful for program analysis: the first one is an extension of definite set constraints including the main feature of quantified set expressions. We will show that the satisfiability problem for this class is EXPTIME-complete.

The second one concerns constraints of the form X exp, where exp is built with function symbols, the intersection and union connectives and projection operators.

The dual aspects of those two classes allows to find a common approach for solving both of them. This approach uses as basic tool tree automata, which axe suitable both for computation and representing the solution of those solving problems. It leads also to simple algorithms and an easy characterization of complexity.

This work was supported in part by the HCM project CONSOLE (CHRXCT940495)

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Author information

Authors and Affiliations

  1. Laboratoire d'Informatique Fondamentale de Lille, CNRS - URA 369 Université des Sciences et Technologies de Lille, France

    P. Devienne, J M. Talbot & S. Tison

Authors
  1. P. Devienne
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  2. J M. Talbot
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  3. S. Tison
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Editor information

Gert Smolka

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© 1997 Springer-Verlag Berlin Heidelberg

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Devienne, P., Talbot, J.M., Tison, S. (1997). Solving classes of set constraints with tree automata. In: Smolka, G. (eds) Principles and Practice of Constraint Programming-CP97. CP 1997. Lecture Notes in Computer Science, vol 1330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0017430

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  • DOI: https://doi.org/10.1007/BFb0017430

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63753-0

  • Online ISBN: 978-3-540-69642-1

  • eBook Packages: Springer Book Archive

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