Transformations to automate model change evolution

Authors:
Yuehua Lin
Affiliations:
University of Alabama at Birmingham, Birmingham, AL
Venue:
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
Year:
2006

Citing 4
Cited 0

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Abstract

As models are elevated to first-class artifacts within the software development lifecycle, new approaches are needed to address the accidental complexities associated with current modeling practice (e.g., manually evolving the deep hierarchical structures of large system models can be error prone and labor intensive). This research abstract presents a model transformation approach to automate model evolution and testing tools to improve the quality of model transformation.