MoDeST --- a modelling and description language for stochastic timed systems. This paper presents a modelling language, called MoDeST, for describing the behaviour of discrete event systems. The language combines conventional programming constructs - such as iteration, alternatives, atomic statements, and exception handling - with means to describe complex systems in a compositional manner. In addition, MoDeST incorporates means to describe important phenomena such as non-determinism, probabilistic branching, and hard real-time as well as soft real-time (i.e., stochastic) aspects. The language is influenced by popular and user-friendly specification languages such as Promela, and deals with compositionality in a light-weight process-algebra style. Thus, MoDeST (i) covers a very broad spectrum of modelling concepts, (ii) possesses a rigid, process-algebra style semantics, and (iii) yet provides modern and flexible specification constructs

References in zbMATH (referenced in 32 articles , 1 standard article )

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  1. Lavaei, Abolfazl; Khaled, Mahmoud; Soudjani, Sadegh; Zamani, Majid: AMYTISS: a parallelized tool on automated controller synthesis for large-scale stochastic systems (2020)
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  7. Gómez, Rodolfo: Model-checking timed automata with deadlines with Uppaal (2013)
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  9. Norman, Gethin; Parker, David; Sproston, Jeremy: Model checking for probabilistic timed automata (2013)
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  17. Gómez, Rodolfo: A compositional translation of timed automata with deadlines to Uppaal timed automata (2009)
  18. Markovski, Jasen; de Vink, Erik P.: Performance evaluation of distributed systems based on a discrete real- and stochastic-time process algebra (2009)
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  20. Markovski, Jasen; de Vink, Erik P.: Extending timed process algebra with discrete stochastic time (2008)

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