Diagnostic information for realizability

  • Authors:
  • A. Cimatti;M. Roveri;V. Schuppan;A. Tchaltsev

  • Affiliations:
  • Fondazione Bruno Kessler, IRST, Povo, TN, Italy;Fondazione Bruno Kessler, IRST, Povo, TN, Italy;Verimag, CNRS, Gières, France;Fondazione Bruno Kessler, IRST, Povo, TN, Italy

  • Venue:
  • VMCAI'08 Proceedings of the 9th international conference on Verification, model checking, and abstract interpretation
  • Year:
  • 2008

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Abstract

Realizability - checking whether a specification can be implemented by an open system - is a fundamental step in the design flow. However, if the specification turns out not to be realizable, there is no method to pinpoint the causes for unrealizability. In this paper, we address the open problem of providing diagnostic information for realizability: we formally define the notion of (minimal) explanation of (un)realizability, we propose algorithms to compute such explanations, and provide a preliminary experimental evaluation.