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https://doi.org/10.4...arrow_drop_down
https://doi.org/10.4018/978193...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/978-1-...
Part of book or chapter of book . 2011 . Peer-reviewed
Data sources: Crossref
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Extension to UML Using Stereotypes

Authors: Daniel Riesco; Paola Martellotto; German Montejano;

Extension to UML Using Stereotypes

Abstract

The objective of this chapter is to first present the basic extension mechanisms proposed by UML. We then propose an extension to facilitate the modeling of specific applications. UML provides three extension mechanisms to allow the modelers to make some common extensions without having to modify the language of modeling underlying “Tag Values,” “Restrictions,” and “Stereotypes.” There are several adaptations of UML, which occasionally exceed the extension mechanisms of UML. In this chapter, we present our proposal of “Evolutionary Stereotypes.” We also present a tool that incorporates evolutionary stereotypes within two modules: the model checker and the dynamic semantics. A case study about time restrictions in a real-time system is shown. The reason for this proposal is that UML provides mechanisms for doing extensions; but, UML does not assure incorporation of new elements to the meta-model with dynamic semantics.

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Powered by OpenAIRE graph
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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!
2
Average
Average
Average
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