Metamodelling: state of the art and research challenges

Authors:
Jonathan Sprinkle;Bernhard Rumpe;Hans Vangheluwe;Gabor Karsai
Affiliations:
University of Arizona, Tucson, AZ;RWTH Aachen University, Germany;McGill University, Montreal, Canada;Vanderbilt University, Nashville, TN
Venue:
MBEERTS'07 Proceedings of the 2007 International Dagstuhl conference on Model-based engineering of embedded real-time systems
Year:
2007

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Abstract

This chapter discusses the current state of the art, and emerging research challenges, for metamodelling. In the state-of-the-art review on metamodelling, we review approaches, abstractions, and tools for metamodelling, evaluate them with respect to their expressivity, investigate what role(s) metamodels may play at run-time and how semantics can be assigned to metamodels and the domain-specific modeling languages they could define. In the emerging challenges section on metamodelling we highlight research issues regarding the management of complexity, consistency, and evolution of metamodels, and how the semantics of metamodels impacts each of these.