GeRoMe: a generic role based metamodel for model management

  • Authors:
  • David Kensche;Christoph Quix;Mohamed Amine Chatti;Matthias Jarke

  • Affiliations:
  • RWTH Aachen University, Informatik V, Aachen, Germany;RWTH Aachen University, Informatik V, Aachen, Germany;RWTH Aachen University, Informatik V, Aachen, Germany;RWTH Aachen University, Informatik V, Aachen, Germany and Fraunhofer FIT, St. Augustin, Germany

  • Venue:
  • Journal on data semantics VIII
  • Year:
  • 2007

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Abstract

The goal of Model Management is the development of new technologies and mechanisms to support the integration, evolution and matching of data models at the conceptual and logical design level. Such tasks are to be performed by means of a set of model management operators which work on models and their elements, without being restricted to a particular metamodel (e.g. the relational or UML metamodel). We propose that generic model management should employ a generic meta-model (GMM) which serves as an abstraction of particular metamodels and preserves as much of the original features of modeling constructs as possible. A naive generalization of the elements of concrete metamodels in generic meta-classes would lose some of the specific features of the metamodels, or yield a prohibitive number of metaclasses in the GMM. To avoid these problems, we propose the Generic Role based Metamodel GeRoMe in which each model element is decorated with a set of role objects that represent specific properties of the model element. Roles may be added to or removed from elements at any time, which enables a very flexible and dynamic yet accurate definition of models. Roles expose to operators different views on the same model element. Thus, operators concentrate on features which affect their functionality but may remain agnostic about other features. Consequently, these operators can use polymorphism and have to be implemented only once using GeRoMe, and not for each specific metamodel. We verified our results by implementing GeRoMe and a selection of model management operators using our metadata system ConceptBase.