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System specification in Rosetta

Authors: Perry Alexander; Roshan Kamath; David Barton;

System specification in Rosetta

Abstract

System level specification and analysis has become a critical issue in designing today's ever increasingly complex systems. System level design is distinguished from other design activities by its heterogeneous nature. Specifically, systems level designers must integrate information from many different design domains in a single design decision making activity. Rosetta is a systems level specification language that addresses problems specific to systems level specification. Rosetta supports specifying heterogeneous systems by providing mechanisms for: (i) constructing architectures involving heterogeneous components and interconnections; and (ii) specifying multiple views of the same component. Specifications are written in the form of formally defined facets. Each facet extends an associated domain theory, allowing it to be defined using a vocabulary specific to that system facet. Facets are assembled through a facet algebra supporting traditional logical operators plus aggregation. This paper concentrates on system specification using Rosetta.

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    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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
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