Predicate Abstraction for Dense Real-Time Systems

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Authors

M. Oliver Möller, Harald Rueß, and Maria Sorea

Abstract

We propose predicate abstraction as a means for verifying a rich class of safety and liveness properties for dense real-time systems. First, we define a restricted semantics of timed systems which is observationally equivalent to the standard semantics in that it validates the same set of mu-calculus formulas without a next-step operator. Then, we recast the model checking problem S |= phi for a timed automaton S and a mu-calculus formula phi in terms of predicate abstraction. Whenever a set of abstraction predicates forms a so-called basis, the resulting abstraction is strongly preserving in the sense that S validates phi iff the corresponding finite abstraction validates this formula phi. Now, the abstracted system can be checked using familiar mu-calculus model checking. Like the region graph construction for timed automata, the predicate abstraction algorithm for timed automata usually is prohibitively expensive. In many cases it suffices to compute an approximation of a finite bisimulation by using only a subset of the basis of abstraction predicates. Starting with some coarse abstraction, we define a finite sequence of refined abstractions that converges to a strongly preserving abstraction. In each step, new abstraction predicates are selected nondeterministically from a finite basis. Counterexamples from failed mu-calculus model checking attempts can be used to heuristically choose a small set of new abstraction predicates for refining the abstraction.

gzipped postscript or postscript

BibTeX Entry

@Article{MRS02,
  author =       {M. Oliver M{\"o}ller and Harald Rue{\ss} and Maria Sorea},
  title =        {Predicate Abstraction for Dense Real-Time Systems},
  journal =      {Electronic Notes in Theoretical Computer Science},
  year =         {2002},
  volume =       {65},
  number =       {6},
  note =         {Full version available as Technical Report BRICS-RS-01-44, 
                  Department of Computer Science, University of Aarhus, Denmark}
}

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Harald Ruess: ruess@csl.sri.com