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Gnesi and D. Latella, editors, Proc. Clarke, F. Giunchiglia, and M. NuSMV: a new symbolic model checker. Roveri, and R. Clarke and X. Clarke, A. Gupta, J. Kukula, and O. Sat based abstraction-refinement using ILP and machine learning techniques. To appear in this volume. Copty, L. Fix, E. Giunchiglia, G. Kamhi, A. Tacchella, and M. Benefits of bounded model checking at an industrial setting. Eshuis and R. Verification support for workflow design with UML activity graphs.

To appear. Fuxman, M. Pistore, J. Mylopoulos, and P. Model checking early requirements specifications in Tropos. Giunchiglia, M. Maratea, A. Tacchella, and D. Evaluating search heuristics and optimization techniques in propositional satisfiability. Springer, Symbolic Model Checking. Kluwer Academic Publ. Moskewicz, C. Madigan, Y. Zhao, L. Zhang, and S. NuSMV has been designed to be an open architecture for model checking, which can be reliably used for the verification of industrial designs, as a core for custom verification tools, as a testbed for formal verification techniques, and applied to other research areas.

NuSMV 2. The release provides some new features, many bug fixes and optimizations, and substantial differences in the software architecture and building system. Follow this link to retrieve a copy. Read the announce for NuSMV 2. For further information follow this link. Project Members Here is the list of people and institutions involved in the project.



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