Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels

Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The corresponding rules also contain these parts and describe the simultaneous construction of both the source and the target model. From these rules, forward rules can be derived which describe the model transformation from a given source model to a target model. The forward transformation must be source consistent in order to define a valid model transformation. Source consistency implies that the source and the target model correspond to each other according to a triple transformation. In this paper, the relationship between the source consistency of forward transformations, and NAC consistency and termination used in other model transformation approaches is analysed from a formal point of view. We define the kernel of a forward rule and construct NACs based on this kernel. Then we give sufficient conditions such that...

• Type: Conference
• Year: 2008
• Where: GG
• Authors: Hartmut Ehrig, Ulrike Prange
• Keywords: GG 2008, Model Transformation, Source Consistency, Target Model, Theoretical Computer Science