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This paper presents MODEST (modeling and description language for stochastic timed systems), a formalism that is intended to support 1) the modular description of reactive systems' behavior while covering both 2) functional and 3) nonfunctional system aspects such as timing and quality-of-service constraints in a single specification. The language contains, features such as simple and structured data types, structuring mechanisms like parallel composition and abstraction, means to control the granularity of assignments, exception handling, and nondeterministic and random branching and timing. MODEST can be viewed as an overarching notation for a wide spectrum of models, ranging from labeled transition systems to timed automata (and probabilistic variants thereof), as well as prominent stochastic processes such as (generalized semi-) Markov chains and decision processes. The paper describes the design rationales and details of the syntax and semantics
formal languages, formal specification, Markov processes, programming language semantics, specification languages, stochastic automata,compositional modeling formalism, description language, stochastic timed system, modular description, reactive system, nonfunctional system, quality-of-service constraint, formal specification, stochastic process, Markov chain, decision process, formal semantics,Embedded software, Learning automata, Stochastic systems, Stochastic processes, Timing, Costs, Algebra, Software systems, Robustness, Unified modeling language,Modeling formalism, compositionality, formal semantics, timed automata, stochastic processes.
"MODEST: A Compositional Modeling Formalism for Hard and Softly Timed Systems", IEEE Transactions on Software Engineering, vol. 32, no. , pp. 812-830, October 2006, doi:10.1109/TSE.2006.104
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