Abstract
Model-Driven Engineering places models as first-class artifacts
throughout the software lifecycle requiring the availability of proper
transformation languages. Although numerous approaches are available,
they lack convenient facilities for supporting debugging and understanding
of the transformation logic. This is not least because transformation
engines operate on a low level of abstraction, hide the operational semantics
of a transformation and scatter metamodels, models, transformation
logic, and trace information across different artifacts. To tackle these
problems, we propose a DSL on top of Colored Petri Nets (CPNs)|called
Transformation Nets|for the development, execution and debugging of
model transformations on a high level of abstraction. This formalism
makes the afore hidden operational semantics explicit by providing a
runtime model in terms of places, transitions and tokens, and ensures a
homogenous view on transformations by representing them on the basis
of the runtime model.
| Original language | English |
|---|---|
| Publication status | Published - 2009 |
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
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