1. L. M. S. Dias, A. A. C. Vieira, G. A. B. Pereira, J. A. Oliveira: Discrete simulation software ranking - a top list of the worldwide most popular and used tools. In: Proc. 2016 Winter Sim. Conf., p. 1060-1071, 2016 (online).
  2. Junglas, P.: Probabilistic state space models – A theoretical framework with practical relevance, SNE Simulation Notes Europe 29(1), p. 33-38 (2019) (online).
  3. D. Harel: Statecharts: A visual formalism for complex systems. Science of Computer Programming, 8, p. 231 - 274, 1987 (online).
  4. G. Hamon: A Denotational Semantics for Stateflow. In: EMSOFT 2005: Proc. of the Fifth ACM Workshop on Embedded Software, pp. 164-172. Association for Computing Machinery, Jersey City, NJ (2005) (online).
  5. G. Hamon, J. Rushby: Statecharts: An Operational Semantics for Stateflow. International Journal on Software Tools for Technology Transfer (STTT) 9 (5-6); Special section FASE’04/05, p. 447–456 (2007) (online).
  6. A. Di Febbraro, D. Giglio, N. Sacco: Modular representation of urban traffic systems based on hybrid petri nets. In: Proc. Intelligent Transportation Systems, p. 866-871, 2001 (online).
  7. A. Di Febbraro, D. Giglio, N. Sacco: On applying petri nets to determine optimal offsets for coordinated traffic light timings. In: Proc. of IEEE 5th International Conference on Intelligent Transportation Systems, p. 773-778, 2002 (online).
  8. C. R. Vázquez et al: Hybrid Petri net model of a traffic intersection in a urban network. In: IEEE International Conference on Control Applications, p. 658-664, 2010 (online).
  9. S. M. Tauböck: C14 Supply Chain Management - Definition. Simulation News Europe 11 (32/33), p. 42-43 (2001) (online).
  10. Austermann, L., Junglas, P., Schmidt, J., Tiekmann, C.: Conceptional problems of transaction-based modeling and its implementation in SimEvents 4.4, SNE Simulation Notes Europe 27(3), p. 137-142 (2017) (online).
  11. H. Bossel: Systeme, Dynamik, Simulation: Modellbildung, Analyse und Simulation komplexer Systeme, Books on Demand, 2004
  12. P. D. Welch: The statistical analysis of simulation results. The computer performance modeling handbook 22 (1983), 268-328.
  13. A. C. H. Chow: Parallel DEVS: A parallel, hierarchical, modular modeling formalism and its distributed simulator.  Transact. Soc. Comp. Simulation, 13(2), 55-68, (1996).
  14. F. Preyser, B. Heinzl, P. Raich, W. Kastner: Towards Extending the Parallel-DEVS Formalism to Improve Component Modularity. In: ASIM 2016, Workshop der ASIM/GI-Fachgruppen STS/GMMS, Lippstadt, p. 83-89 (2016) (online).
  15. F. Preyser, B. Heinzl, W. Kastner: RPDEVS: Revising the Parallel Discrete Event System Specification. In: Proc. 9th Vienna Int. Conf. on Mathematical Modelling, Wien, p. 269-274, (2018) (online).
  16. T. Schwatinski. T. Pawletta: An Advanced Simulation Approach for Parallel DEVS with Ports. In: Proc. 2010 Spring Simulation Multiconference, p. 147-154 (2010) (online).
  17. Homepage of MatlabDEVS.
  18. T. Pawletta, C. Deatcu, O. Hagendorf, S. Pawletta, G. Colquhoun: DEVS-Based Modeling and Simulation in Scientific and Technical Computing Environments. In: Proc. of DEVS Integrative M&S Symposium (DEVS'06) - Part of the 2006 Spring Simulation Multiconference (SpringSim'06), p. 151-158 (2006) (online).
  19. C. Deatcu, B. Freymann, T. Pawletta: PDEVS-based hybrid system simulation toolbox for MATLAB. In Proc. Symp. Theory of Modeling & Simulation. Society for Computer Simulation International, p. 989-1000 (2017) (online).
  20. A. Körner, F. Breitenecker: State Events and Structural-dynamic Systems: Definition of ARGESIM Benchmark C21. SNE Simulation Notes Europe 26(2), p. 117-122 (2016) (online).
  21. P. A. Fritzson: Principles of Object-Oriented Modeling and Simulation with Modelica 3.3. Wiley & Sons, New York, 2015.
  22. J.-P. Disselkamp, P. Junglas, A. Niehüser, P. Schönfelder: A Solution to ARGESIM Benchmark C21 ’State Events and Structural-dynamic Systems’ based on Modelica Components. SNE Simulation Notes Europe 28(2), p. 39-48 (2018) (online).
  23. J.-P. Disselkamp, P. Junglas, A. Niehüser, P. Schönfelder: Implementing the Argesim C21 benchmark with Modelica components. In: ASIM 2018, Workshop der ASIM/GI-Fachgruppen STS/GMMS, Heilbronn, p. 197-202 (2018) (online).
  24. Th. Pawletta, A. Schmidt, P. Junglas: A Multimodeling Approach for the Simulation of Energy Consumption in Manufacturing. SNE Simulation Notes Europe 27(2), p. 115-124 (2017) (online).
  25. A. Schmidt: Variantenmanagement in der Modellbildung und Simulation unter Verwendung des SES/MB Frameworks. Diss. U. Rostock (2019) (online).