Abstract
Domain specific languages play an important role in model driven
development, as they allow to model a system using modeling
constructs carrying implicit semantics specific to a domain.
Consequently, possibly many reusable, domain specific languages
will emerge. Thereby, certain application areas, such as business
process engineering, can be jointly covered by a number of
conceptually related DSLs, that are similar in a sense of sharing
semantically equal concepts. Although, a crucial role in being able
to use, manage and integrate all these DSLs comes to model
transformation languages with QVT as one of their most
prominent representatives, existing approaches have not aimed at
reaping benefit of these semantically overlapping DSLs in terms
of providing abstraction mechanisms for shared concepts.
Therefore, as opposed to a general-purpose model transformation
language sought after with the QVT-RFP, this work discusses the
possibility of employing domain-specific model transformation
languages. These are specifically tailored for defining
transformations between metamodels sharing certain
characteristics. In this context, the paper introduces a basic
framework which allows generating the necessary tools to define
and execute transformations written in such a domain-specific
transformation language. To illustrate the approach, an example
language will be introduced and its realization within the
framework is shown.
Original language | English |
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Title of host publication | Proceedings of the 8th International Conference on Enterprise Information Systems (ICEIS 2006) |
Publication status | Published - 2006 |
Fields of science
- 101004 Biomathematics
- 101027 Dynamical systems
- 101028 Mathematical modelling
- 101029 Mathematical statistics
- 101014 Numerical mathematics
- 101015 Operations research
- 101016 Optimisation
- 101017 Game theory
- 101018 Statistics
- 101019 Stochastics
- 101024 Probability theory
- 101026 Time series analysis
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 102018 Artificial neural networks
- 102019 Machine learning
- 103029 Statistical physics
- 106005 Bioinformatics
- 106007 Biostatistics
- 202017 Embedded systems
- 202035 Robotics
- 202036 Sensor systems
- 202037 Signal processing
- 305901 Computer-aided diagnosis and therapy
- 305905 Medical informatics
- 305907 Medical statistics
- 102032 Computational intelligence
- 102033 Data mining
- 101031 Approximation theory
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102021 Pervasive computing
- 102025 Distributed systems
- 102027 Web engineering
- 202038 Telecommunications