DOI: 10.1007/978-3-642-11512-7_20
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Abstract: Abstract. In this work we introduce counterexample guided path reduction based on interval constraint solving for static program analysis. The aim of this technique is to reduce the number of false positives by reducing the number of feasible paths in the abstraction iteratively. Given a counterexample, a set of observers is computed which exclude infeasible paths in the next iteration. This approach combines ideas from counterexample guided abstraction refinement for software verification with static analysi…

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