Logical and stochastic modeling with smart . We describe the main features of Smart, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. Smart can combine different formalisms in the same modeling study. For the analysis of logical behavior, both explicit and symbolic state-space generation techniques, as well as symbolic CTL model-checking algorithms, are available. For the study of stochastic and timing behavior, both sparse-storage and Kronecker numerical solution approaches are available when the underlying process is a Markov chain. In addition, discrete-event simulation is always applicable regardless of the stochastic nature of the process, but certain classes of non-Markov models can still be solved numerically. Finally, since Smart targets both the classroom and realistic industrial settings as a learning, research, and application tool, it is written in a modular way that allows for easy integration of new formalisms and solution algorithms.

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  1. Iacono, M.; Barbierato, E.; Gribaudo, M.: The simthesys multiformalism modeling framework (2012)
  2. Katoen, Joost-Pieter; Klink, Daniel; Leucker, Martin; Wolf, Verena: Three-valued abstraction for probabilistic systems (2012)
  3. Mühlberg, Jan Tobias; Lüttgen, Gerald: Verifying compiled file system code (2012)
  4. Schwarick, Martin; Tovchigrechko, Alexej: IDD-based model validation of biochemical networks (2011)
  5. Yu, Andy Jinqing; Ciardo, Gianfranco; Lüttgen, Gerald: Decision-diagram-based techniques for bounded reachability checking of asynchronous systems (2009)
  6. Zimmermann, Armin: Stochastic discrete event systems. Modeling, evaluation, applications. (2008)
  7. Aldini, Alessandro; Bernardo, Marco: Mixing logics and rewards for the component-oriented specification of performance measures (2007)
  8. Bozzano, Marco; Villafiorita, Adolfo: The fSAP/NuSMV-SA safety analysis platform (2007)
  9. Ciardo, Gianfranco; Lüttgen, Gerald; Miner, Andrew S.: Exploiting interleaving semantics in symbolic state-space generation (2007)
  10. Katoen, Joost-Pieter; Klink, Daniel; Leucker, Martin; Wolf, Verena: Three-valued abstraction for continuous-time Markov chains (2007)
  11. Siminiceanu, Radu I.; Ciardo, Gianfranco: Formal verification of the NASA runway safety monitor (2007)
  12. Ciardo, Gianfranco; Marmorstein, Robert; Siminiceanu, Radu: The saturation algorithm for symbolic state-space exploration $<!--THANKSREF="*"--> <!--ID="*"Work$ supported in part by the national aeronautics and space administration under grant $NAG-1-02095$ and by the national science foundation under grants $CCR-0219745$ and $ACI-0203971$ .--> (2006)
  13. Ciardo, Gianfranco; Yu, Andy Jinqing: Saturation-based symbolic reachability analysis using conjunctive and disjunctive partitioning (2005)
  14. Ciardo, Gianfranco: Reachability set generation for Petri nets: Can brute force be smart? (2004)
  15. Vittorini, V.; Iacono, M.; Mazzocca, N.; Franceschinis, G.: The osmosys approach to multi-formalism modeling of systems (2004)
  16. Ciardo, G.; Jones, R.L.; Miner, A.S.; Siminiceanu, R.: Logical and stochastic modeling with Smart. (2003)
  17. Hermanns, Holger; Joubert, Christophe: A set of performance and dependability analysis components for CADP (2003)
  18. Ciardo, Gianfranco; Siminiceanu, Radu: Using edge-valued decision diagrams for symbolic generation of shortest paths (2002)
  19. Frisch, Alan; Sheridan, Daniel; Walsh, Toby: A fixpoint based encoding for bounded model checking (2002)
  20. Kwiatkowska, Marta; Norman, Gethin; Parker, David: Probabilistic symbolic model checking with PRISM: A hybrid approach (2002)

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