Semi-automatic model integration using matching transformations and weaving models

Abstract

Model transformations are at the heart of model driven engineering (MDE) and can be used in many different application scenarios. For instance, model transformations are used to integrate very large models. As a consequence, they are becoming more and more complex. However, these transformations are still developed manually. Several code patterns are implemented repetitively, increasing the probability of programming errors and reducing code reusability. There is not yet a complete solution that automates the development of model transformations. In this paper we propose a novel approach that uses matching transformations and weaving models to semi-automate the development of transformations. Matching transformations are a special kind of transformations that implement heuristics and algorithms to create weaving models. Weaving models are models that capture different kinds of relationships between models. Our solution enables to rapidly implement and to customize these heuristics. We combine different heuristics, and we propose a new metamodel-based heuristic that exploits metamodel data to automatically produce weaving models. The weaving models are derived into model integration transformations.

A Solution for Concurrent Versioning of Metamodels and Models.

“…However, for the latter whenever a metamodel evolves, corresponding migrations have to be operated since existing model instances could not be well-formed any more [SK04]. This problem is known as co-evolution or co-adaptation, and a relevant number of research works propose solutions ranging from manual co-adaptation [RKPP10,SK04], to semi-automatic migration through re-use of recurring strategies [HBJ08,Wac07,DIP11] and automatic co-evolution directly generated from the manipulations made to the metamodel [CDP09,DV07].…”

On the Conceptualization of a Modeling Language for Semantic Model Annotations

“…As the annotation model type provides all necessary information no modification of the original modeling language is necessary. This approach is similar to previously discussed approaches in the context of model weaving [29], however we use an explicit visual representation for the annotation model type. Thereby, a user can edit the annotations in a visual form without having to deal with a formal specification language.…”

Integrating legacy systems with MDE

“…The model-driven engineering community has developed several languages to specify transformations based on mappings between concepts such as QVT [5], ATL/AMW [8] or graph-based languages such as Viatra [22], VMTS [23] or AGG [1]. These approaches are oriented to meta-models correspondence and to transformation rules production in order to perform data transformation or migration.…”