Abstract
Probabilities, real-time behaviour and continuous dynamics are the key ingredients of quantitative models enabling formal studies of non-functional properties such as dependability and performance. The Toolset is based on networks of stochastic hybrid automata (SHA) as an overarching semantic foundation. Many existing automata-based formalisms are special cases of SHA. The toolset aims to facilitate reuse of modelling expertise via Modest, a high-level compositional modelling language; to allow reuse of existing models by providing import and export facilities for existing languages; and to permit reuse of existing tools by integrating them in a unified modelling and analysis environment. © 2014 Springer-Verlag.
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CITATION STYLE
Hartmanns, A., & Hermanns, H. (2014). The Modest Toolset: An integrated environment for quantitative modelling and verification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8413 LNCS, pp. 593–598). Springer Verlag. https://doi.org/10.1007/978-3-642-54862-8_51
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