A Framework for Building Mapping Operators Resolving Structural Heterogeneities
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 7th International Conference on Information Systems Technology and its Applications (ISTA)
Original Kurzfassung:
Seamless exchange of models among different modeling tools
increasingly becomes a crucial prerequisite for the success of modeldriven
engineering. Current best practices use model transformation languages
to realize necessary mappings between concepts of the metamodels
defining the modeling languages supported by different tools. Existing
model transformation languages, however, lack appropriate abstraction
mechanisms for resolving recurring kinds of structural heterogeneities
one has to primarily cope with when creating such mappings.
We propose a framework for building reusable mapping operators which
allow the automatic transformation of models. For each mapping operator,
the operational semantics is specified on basis of Colored Petri Nets,
providing a uniform formalism not only for representing the transformation
logic together with the metamodels and the models themselves, but
also for executing the transformations, thus facilitating understanding
and debugging. To demonstrate the applicability of our approach, we
apply the proposed framework for defining a set of mapping operators
which are intended to resolve typical structural heterogeneities occurring
between the core concepts usually used to define metamodels.