Model Validation in Ontology Based Transformations
This addresses the need for reliable model validation in software engineering transformations, but it is incremental as it builds on existing logic programming methods for a specific domain.
The paper tackles the problem of ensuring syntactic and semantic correctness in model transformations within Model Driven Engineering, specifically for Ontology Definition Meta-model based transformations, by presenting a logic programming approach that validates structural, semantic, and transformation properties, applied to an Entity-Relationship to Relational Model example.
Model Driven Engineering (MDE) is an emerging approach of software engineering. MDE emphasizes the construction of models from which the implementation should be derived by applying model transformations. The Ontology Definition Meta-model (ODM) has been proposed as a profile for UML models of the Web Ontology Language (OWL). In this context, transformations of UML models can be mapped into ODM/OWL transformations. On the other hand, model validation is a crucial task in model transformation. Meta-modeling permits to give a syntactic structure to source and target models. However, semantic requirements have to be imposed on source and target models. A given transformation will be sound when source and target models fulfill the syntactic and semantic requirements. In this paper, we present an approach for model validation in ODM based transformations. Adopting a logic programming based transformational approach we will show how it is possible to transform and validate models. Properties to be validated range from structural and semantic requirements of models (pre and post conditions) to properties of the transformation (invariants). The approach has been applied to a well-known example of model transformation: the Entity-Relationship (ER) to Relational Model (RM) transformation.