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https://doi.org/10.1109/itcc.2...
Article . 2005 . Peer-reviewed
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A transformation definition metamodel for model transformation

Authors: Jin Liu; Keqing He 0002; Bing Li 0010; Chengwan He; Peng Liang 0001;

A transformation definition metamodel for model transformation

Abstract

Automated model transformation from PIMs to PSMs is a pivotal challenge of model driven development. Since models are usually represented in a graphic manner of class diagram (CD), current graphic-transformation based approach seems to be a natural approach. To overcome deficiencies of this approach, i.e. insufficiency of direct support for CD and explicit formal definition, we define a transformation definition metamodel, which employs the rule template match technique. The rule iteration algorithm and the rule schedule algorithm form the computing model. We also define and implement a transformation rule set for the transformation from UML class models to EJB models. Explicitly formal definition, transformation metamodel and demonstration make our work comprehensible and applicable. Besides MDD, our work also has potential to be applied in software evolution and integration.

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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!
1
Average
Average
Average