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ABSTRACT
The traditional model transformation approach is to write transformation programs in a specialized language. Although such languages provide powerful capabilities to automate model refinements, they still present challenges to those who are unfamiliar with specialized model transformation languages or metamodels. MT-Scribe is a tool to simplify the creation of model transformations by recording and analyzing user-specified model transformations so that they can be modularized and applied to other models. This approach does not require users to have knowledge of any model transformation language or familiarity with a metamodel definition. Through this demonstration, the audience will observe an innovative approach to implement model transformations and understand how to apply this approach to simplify endogenous model transformations tasks to support model evolution. REFERENCES
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