A comprehensive model transformation approach to automated model construction and evolution

Authors:
Yuehua Lin;Jeff Gray
Affiliations:
University of Alabama at Birmingham, Birmingham, AL;University of Alabama at Birmingham, Birmingham, AL
Venue:
OOPSLA '05 Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Year:
2005

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Abstract

As models are elevated to first-class artifacts within the software development lifecycle, the task of constructing and evolving large-scale system models becomes a manually intensive effort that can be very time consuming and error prone. To address these problems, this research poster presents a comprehensive approach to model transformation. Within this approach, a high-level aspectual model transformation language is designed to specify tasks of model construction and evolution, and then a model transformation engine is used to execute transformation specifications in an automated manner. Testing and debugging tools at the modeling level are provided to assist in detecting errors in the model transformation.