Semantic Approach to Automatically Defined Model Transformation

Abstract

Model transformation, regarded as a pillar of model-driven engineering, plays a key role in improving enterprises’ interoperability. However, to define the process of a model transformation (within a specific context) needs large amount of human’s effort. To reduce human’s effort and make model transformation more efficient, automatic model transformation would be a suitable solution. We present an automatic model transformation approach in this paper, which is based on model transformation methodology, using syntactic and semantic check among model elements. In this approach, a generic meta–meta-model and semantic checking rules are proposed. With a simple use case, we illustrate how this approach works.