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doi: 10.1109/acsd.2011.17
In the context of Model Driven Engineering, models are the primary artifacts of the system development cycle. In order to manage the complexity of systems, models are decomposed into models of simpler subsystems. A major difficulty is to handle the heterogeneity of the different models of computation used for modeling the subsystems. Through the example of a power window system, this article presents an approach to the specification of the semantic adaptation of data, time and control between models of computation. The approach is supported by ModHel'X, a heterogeneous modeling and simulation environment. The example is simple enough to be completely described in the article, but rich enough to illustrate the matters of (a) defining models of computation, and (b) specifying the semantic adaptation between models of computation.
heterogeneous modeling, model of computation, model semantics, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, model driven engineering
heterogeneous modeling, model of computation, model semantics, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, model driven engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |