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Guest editorial: Special issue on computer automated multi-paradigm modeling
Pieter J. Mosterman, Hans Vangheluwe
Modeling, simulation, sensitivity analysis, and optimization of hybrid systems
Paul I. Barton, Cha Kun Lee
Hybrid (discrete/continuous) systems exhibit both discrete state and continuous state dynamics which interact to such a significant extent that they cannot be decoupled and must be analyzed simultaneously. We present an overview of the work that has...
Rearchitecting the UML infrastructure
Colin Atkinson, Thomas Kühne
Metamodeling is one of the core foundations of computer-automated multiparadigm modeling. However, there is currently little agreement about what form the required metamodeling approach should take and precisely what role metamodels should play. This...
Metamodeling in EIA/CDIF---meta-metamodel and metamodels
Rony G. Flatscher
This article introduces the EIA/CDIF set of standards for the modeling of information systems and its exchange among computer-aided software tools of different vendors. It lays out the meta-metamodel and the standardized metamodels which are fully...
A component-based approach to modeling and simulating mixed-signal and hybrid systems
Jie Liu, Edward A. Lee
Systems with both continuous and discrete behaviors can be modeled using a mixed-signal style or a hybrid systems style. This article presents a component-based modeling and simulation framework that supports both modeling styles. The component...