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Counterexample Guided Abstraction Refinement of Product-Line Behavioural Models

Abstract : The model-checking problem for Software Products Lines (SPLs) is harder than for single systems: variability constitutes a new source of complexity that exacerbates the state-explosion problem. Abstraction techniques have successfully alleviated state explosion in single-system models. However, they need to be adapted to SPLs, to take into account the set of variants that produce a counterexample. In this paper, we apply CEGAR (Counterexample-Guided Abstraction Refinement) and we design new forms of abstraction specifically for SPLs. We carry out experiments to evaluate the efficiency of our new abstractions. The results show that our abstractions, combined with an appropriate refinement strategy, hold the potential to achieve large reductions in verification time, although they sometimes perform worse. We discuss in which cases a given abstraction should be used.
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Submitted on : Wednesday, November 26, 2014 - 4:25:06 PM
Last modification on : Wednesday, March 9, 2022 - 11:54:02 AM
Long-term archiving on: : Friday, April 14, 2017 - 7:53:30 PM


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Maxime Cordy, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens, Bruno Dawagne, et al.. Counterexample Guided Abstraction Refinement of Product-Line Behavioural Models. FSE 2014 : International Symposium on Foundations of Software Engineering, Nov 2014, Hong Kong, Hong Kong SAR China. pp.190-201, ⟨10.1145/2635868.2635919⟩. ⟨hal-01087789⟩



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