Journal of Logic and Computation Advance Access originally published online on December 26, 2006
Journal of Logic and Computation 2007 17(1):157-197; doi:10.1093/logcom/exl035
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Original Articles |
Generalized Strong Preservation by Abstract Interpretation
Dipartimento di Matematica Pura ed Applicata, Università di Padova, Via Trieste 63, 35121 Padova, Italy. E-mail: francesco.ranzato{at}unipd.it; tapparo{at}math.unipd.it
Received 13 March 2006.
| Abstract |
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Standard abstract model checking relies on abstract Kripke structures which approximate concrete models by gluing together indistinguishable states, namely by a partition of the concrete state space. Strong preservation for a specification language
amounts to the equivalence of concrete and abstract model checking of formulas in
. We show how abstract interpretation can be used to design generic abstract models that allow to view standard abstract Kripke structures as particular instances. Accordingly, strong preservation is generalized to abstract interpretation-based models and precisely related to the concept of completeness in abstract interpretation. The problem of minimally refining an abstract model in order to make it strongly preserving for some language
can be formulated as a minimal domain refinement in abstract interpretation in order to get completeness w.r.t. the logical/temporal operators of
. It turns out that this refined strongly preserving abstract model always exists and can be characterized as a greatest fixed point. As a consequence, some well-known behavioural equivalences, like bisimulation, simulation and stuttering, and their corresponding partition refinement algorithms can be elegantly characterized in abstract interpretation as completeness properties and refinements.
Keywords: Abstract interpretation; abstract model checking; strong preservation; completeness; refinement; behavioural equivalence