2010
DOI: 10.1007/978-3-642-15375-4_7
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Constrained Monotonic Abstraction: A CEGAR for Parameterized Verification

Abstract: Abstract. In this paper, we develop a counterexample-guided abstraction refinement (CEGAR) framework for monotonic abstraction, an approach that is particularly useful in automatic verification of safety properties for parameterized systems. The main drawback of verification using monotonic abstraction is that it sometimes generates spurious counterexamples. Our CEGAR algorithm automatically extracts from each spurious counterexample a set of configurations called a "Safety Zone" and use it to refine the abstr… Show more

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Cited by 25 publications
(27 citation statements)
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“…In this work, we build on such methods and strengthen the obtained transition systems using automatically generated invariants in order to obtain counter machines that over-approximate the concurrent program behavior and still faithfully capture the barriers semantics. We then build on our work on constrained monotonic abstraction [4] in order to decide state reahability by automatically generating and refining monotonic over-approximations for such systems.…”
Section: Introductionmentioning
confidence: 99%
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“…In this work, we build on such methods and strengthen the obtained transition systems using automatically generated invariants in order to obtain counter machines that over-approximate the concurrent program behavior and still faithfully capture the barriers semantics. We then build on our work on constrained monotonic abstraction [4] in order to decide state reahability by automatically generating and refining monotonic over-approximations for such systems.…”
Section: Introductionmentioning
confidence: 99%
“…We generate these invariants using classical thread modular analysis techniques [14]. 4. We leverage on existing constrained monotonic abstraction techniques [17,4] to implement the inner loop and to address the state reachability problem.…”
Section: Introductionmentioning
confidence: 99%
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