Software Engineering, International Conference on (2012)
June 2, 2012 to June 9, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/
Maxime Cordy , PReCISE Research Center, University of Namur, Belgium
Andreas Classen , PReCISE Research Center, University of Namur, Belgium
Gilles Perrouin , PReCISE Research Center, University of Namur, Belgium
Pierre-Yves Schobbens , PReCISE Research Center, University of Namur, Belgium
Patrick Heymans , PReCISE Research Center, University of Namur, Belgium
Axel Legay , IRISA/INRIA Rennes, France. Aalborg University, Denmark. University of Liège, Belgium
Software Product Line (SPL) engineering is a software engineering paradigm that exploits the commonality between similar software products to reduce life cycle costs and time-to-market. Many SPLs are critical and would benefit from efficient verification through model checking. Model checking SPLs is more difficult than for single systems, since the number of different products is potentially huge. In previous work, we introduced Featured Transition Systems (FTS), a formal, compact representation of SPL behaviour, and provided efficient algorithms to verify FTS. Yet, we still face the state explosion problem, like any model checking-based verification. Model abstraction is the most relevant answer to state explosion. In this paper, we define a novel simulation relation for FTS and provide an algorithm to compute it. We extend well-known simulation preservation properties to FTS and thus lay the theoretical foundations for abstraction-based model checking of SPLs. We evaluate our approach by comparing the cost of FTS-based simulation and abstraction with respect to product-by-product methods. Our results show that FTS are a solid foundation for simulation-based model checking of SPL.
Computational modeling, Radio frequency, Software, Abstracts, Silicon, Semantics, Educational institutions
M. Cordy, A. Classen, G. Perrouin, P. Schobbens, P. Heymans and A. Legay, "Simulation-based abstractions for software product-line model checking," 2012 34th International Conference on Software Engineering (ICSE 2012)(ICSE), Zurich, 2012, pp. 672-682.