Modest is a high-level compositional modelling language for stochastic timed systems with a formal semantics in terms of stochastic timed automata. The analysis of Modest models is supported by the Toolset, which includes the discrete-event simulator modes. modes handles arbitrary deterministic models as well as models that include nondeterminism due to concurrency through the use of methods inspired by partial order reduction. In this paper, we present version 1.4 of modes, which includes several enhancements compared to previous prototypical versions, such as support for recursive data structures, interactive simulation and statistical model checking.


Formal Semantic Sequential Probability Ratio Testing Stochastic Delay Partial Order Reduction Statistical Model Check 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Alur, R., Dill, D.L.: A theory of timed automata. Theoretical Computer Science 126(2), 183–235 (1994)MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Baier, C., D’Argenio, P.R., Größer, M.: Partial order reduction for probabilistic branching time. Electr. Notes in Theor. Comput. Sci. 153(2), 97–116 (2006)CrossRefGoogle Scholar
  3. 3.
    Baró Graf, H., Hermanns, H., Kulshrestha, J., Peter, J., Vahldiek, A., Vasudevan, A.: A verified wireless safety critical hard real-time design. In: IEEE WoWMoM 2011. IEEE (2011)Google Scholar
  4. 4.
    Behrmann, G., David, A., Larsen, K.G.: A Tutorial on Uppaal. In: Bernardo, M., Corradini, F. (eds.) SFM-RT 2004. LNCS, vol. 3185, pp. 200–236. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  5. 5.
    Bogdoll, J., Ferrer Fioriti, L.M., Hartmanns, A., Hermanns, H.: Partial Order Methods for Statistical Model Checking and Simulation. In: Bruni, R., Dingel, J. (eds.) FORTE 2011 and FMOODS 2011. LNCS, vol. 6722, pp. 59–74. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Bohnenkamp, H.C., D’Argenio, P.R., Hermanns, H., Katoen, J.P.: MoDeST: A compositional modeling formalism for hard and softly timed systems. IEEE Transactions on Software Engineering 32(10), 812–830 (2006)CrossRefGoogle Scholar
  7. 7.
    Boudali, H., Crouzen, P., Haverkort, B.R., Kuntz, M., Stoelinga, M.: Architectural dependability evaluation with Arcade. In: DSN 2008, pp. 512–521. IEEE CS Press (2008)Google Scholar
  8. 8.
    Hartmanns, A.: Model-Checking and Simulation for Stochastic Timed Systems. In: Aichernig, B.K., de Boer, F.S., Bonsangue, M.M. (eds.) FMCO 2010. LNCS, vol. 6957, pp. 372–391. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  9. 9.
    Segala, R.: Modeling and Verification of Randomized Distributed Real-Time Systems. Ph.D. thesis. MIT, Cambridge (1995)Google Scholar
  10. 10.
    Wald, A.: Sequential analysis. Wiley, New York (1959)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jonathan Bogdoll
    • 1
  • Arnd Hartmanns
    • 1
  • Holger Hermanns
    • 1
  1. 1.Computer ScienceSaarland UniversitySaarbrückenGermany

Personalised recommendations