Model scalability using a model recording and inference engine

Authors:
Yu Sun
Affiliations:
University of Alabama at Birmingham, Birmingham, AL, USA
Venue:
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
Year:
2010

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Abstract

Model scalability is traditionally supported by manual editing or writing model transformation rules. However, this process presents challenges to those who are unfamiliar with a model transformation language or metamodel definitions. This poster describes an approach to scale models by recording and analyzing demonstrated operations by end-users.