
Heterogeneous systems are naturally complex and their design is a tedious process. The modeling of components that constitute such a system mandates the use of different techniques. This gives rise to the problem of methodology integration that is needed to provide a consistent design. In this paper, we propose a meta-model framework that provides such an integration. The semantics of different computational models can be expressed and used together in the Rosetta framework. We use denotational semantics to define unifying semantic domains, which are themselves extended to provide ontologies for models of computation. Interaction relations defined between models are then used to exploit and analyze model integration. We demonstrate our approach by providing applications where different computational models are used together.
| selected citations These citations are derived from selected sources. 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). | 9 | |
| 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. | Average |
