Infinite-State Liveness-to-Safety via Implicit Abstraction and Well-Founded Relations

  • Jakub Daniel
  • Alessandro Cimatti
  • Alberto Griggio
  • Stefano Tonetta
  • Sergio Mover
Conference paper

DOI: 10.1007/978-3-319-41528-4_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9779)
Cite this paper as:
Daniel J., Cimatti A., Griggio A., Tonetta S., Mover S. (2016) Infinite-State Liveness-to-Safety via Implicit Abstraction and Well-Founded Relations. In: Chaudhuri S., Farzan A. (eds) Computer Aided Verification. CAV 2016. Lecture Notes in Computer Science, vol 9779. Springer, Cham

Abstract

We present a fully-symbolic LTL model checking approach for infinite-state transition systems. We extend liveness-to-safety, a prominent approach in the finite-state case, by means of implicit abstraction, to effectively prove the absence of abstract fair loops without explicitly constructing the abstract state space. We increase the effectiveness of the approach by integrating termination techniques based on well-founded relations derived from ranking functions. The idea is to prove that any existing abstract fair loop is covered by a given set of well-founded relations. Within this framework, \(k\)-liveness is integrated as a generic ranking function. The algorithm iterates by attempting to remove spurious abstract fair loops: either it finds new predicates, to avoid spurious abstract prefixes, or it introduces new well-founded relations, based on the analysis of the abstract lasso. The implementation fully leverages the efficiency and incrementality of the underlying safety checker IC3ia. The proposed approach outperforms other temporal checkers on a wide class of benchmarks.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Jakub Daniel
    • 1
    • 2
  • Alessandro Cimatti
    • 1
  • Alberto Griggio
    • 1
  • Stefano Tonetta
    • 1
  • Sergio Mover
    • 3
  1. 1.Fondazione Bruno KesslerTrentoItaly
  2. 2.Charles University in Prague, Faculty of Mathematics and Physics, Department of Distributed and Dependable SystemsPragueCzech Republic
  3. 3.University of Colorado BoulderBoulderUSA

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