TCS:: a DSL for the specification of textual concrete syntaxes in model engineering
Proceedings of the 5th international conference on Generative programming and component engineering
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
ATL: A model transformation tool
Science of Computer Programming
The Objects and Arrows of Computational Design
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
MoDELS'05 Proceedings of the 2005 international conference on Satellite Events at the MoDELS
KM3: a DSL for metamodel specification
FMOODS'06 Proceedings of the 8th IFIP WG 6.1 international conference on Formal Methods for Open Object-Based Distributed Systems
Towards an Improvement of Software Development Processes through Standard Business Rules
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Authoring business rules grounded in OWL ontologies
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Simplifying model transformation chains by rule composition
MODELS'10 Proceedings of the 2010 international conference on Models in software engineering
Bringing OWL ontologies to the business rules users
RuleML'12 Proceedings of the 6th international conference on Rules on the Web: research and applications
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Model Driven Engineering (MDE) is rapidly maturing and is being deployed in several situations. We report here on an experiment conducted in the context of ILOG, a leader in the development of Business Rule Management Systems (BRMS). BRMSs aim at enabling business users automating their business policies. There is a growing number of BRMS supporting different languages, but also a lack of tools for bridging them. In this paper, we present an approach based on MDE techniques for bridging rule languages; the solution has been fully implemented and tested on different BRMS. The success of the experiment has led to the development and chaining of a significant number of model transformations --- no less than twenty. At the same time, this deployment has shown new problems arising from the management of a high number of artifacts. We discuss the positive assessment of MDE in this field, but also the need to address the complexity generated.