Rearchitecting the UML infrastructure
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Component-Based Product-Line Engineering with the UML
ICSR-7 Proceedings of the 7th International Conference on Software Reuse: Methods, Techniques, and Tools
Orthographic modeling environment
FASE'08/ETAPS'08 Proceedings of the Theory and practice of software, 11th international conference on Fundamental approaches to software engineering
Deep meta-modelling with METADEPTH
TOOLS'10 Proceedings of the 48th international conference on Objects, models, components, patterns
Melanie: multi-level modeling and ontology engineering environment
Proceedings of the 2nd International Master Class on Model-Driven Engineering: Modeling Wizards
A multi-level modeling environment for SUM-based software engineering
Proceedings of the 1st Workshop on View-Based, Aspect-Oriented and Orthographic Software Modelling
On the application of software modelling principles on ISO 15926
Proceedings of the Modelling of the Physical World Workshop
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As practical tools for disciplined multi-level modeling have begun to emerge, the problem of supporting simple and efficient transformations to-and-from multi-level model content has started to assume growing importance. The problem is not only to support efficient transformations between multi-level models, but also between multi-level and traditional two-level model content represented in traditional modeling infrastructures such as the UML and programming languages. This is not only important to facilitate interoperability between multi-level modeling tools and traditional tools, but also to extend the benefits of multi-level modeling to transformations. Multi-level model content can already be accessed by traditional transformation languages such as ATL and QVT, but in a way that is blind to the ontological classification information they contain. In this paper we present an approach for making rule-based transformation languages "multi-level aware" so that the semantics of ontological instantiation can be exploited when writing transformations.