Combining Heterogeneity, Compositionality, and Automatic Generation in Formal Modelling

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Author(s): Stefano Marrone (Seconda Università di Napoli, Italy), Nicola Mazzocca (Università di Napoli “Federico II”, Italy), Roberto Nardone (Università di Napoli “Federico II”, Italy)and Valeria Vittorini (Università di Napoli “Federico II”, Italy)
Copyright: 2014
Pages: 17
Source title: Theory and Application of Multi-Formalism Modeling
Source Author(s)/Editor(s): Marco Gribaudo (Politecnico di Milano, Italy)and Mauro Iacono (Seconda Università degli Studi di Napoli, Italy)
DOI: 10.4018/978-1-4666-4659-9.ch002

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

Critical computer-based systems have an increasing complexity due to the number of components, to their heterogeneity, and to the relationships among them. Such systems must meet strict non-functional requirements and should be able to cope with competitive market needs. The adoption of formal methods is often advocated in order to provide formal proof, but their application does not scale with the growing size of systems. The aim of this chapter is to introduce a modelling and analysis methodology that allows the combination of three proven research trends in formal modelling of large systems: formal model generation (by means of model-driven techniques), multiformalism, and compositional approaches. In this chapter there is also a discussion about enabling techniques. The proposed approach has been applied to the performability modelling and evaluation of flexible manufacturing systems.

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Combining Heterogeneity, Compositionality, and Automatic Generation in Formal Modelling

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