Multi-layer syntactical model transformation for model based systems engineering

Model-based systems engineering;Domain specific languages;Model transformation;Engineering tool integration;Formal modeling languages;Graph grammar theory

Kwon, Ky-Sang ; Industrial and Systems Engineering

University:Georgia Institute of Technology

Department:Industrial and Systems Engineering

关键词: Model-based systems engineering;    Domain specific languages;    Model transformation;    Engineering tool integration;    Formal modeling languages;    Graph grammar theory;   

Others  :  https://smartech.gatech.edu/bitstream/1853/42835/1/Kwon_Ky-Sang_201112_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This dissertation develops a new model transformation approach that supports engineering model integration, which is essential to support contemporary interdisciplinary system design processes. We extend traditional model transformation, which has been primarily used for software engineering, to enable model-based systems engineering (MBSE) so that the model transformation can handle more general engineering models.We identify two issues that arise when applying the traditional model transformation to general engineering modeling domains. The first is instance data integration: the traditional model transformation theory does not deal with instance data, which is essential for executing engineering models in engineering tools.The second is syntactical inconsistency: various engineering tools represent engineering models in a proprietary syntax. However, the traditional model transformation cannot handle this syntactic diversity.In order to address these two issues, we propose a new multi-layer syntactical model transformation approach. For the instance integration issue, this approach generates model transformation rules for instance data from the result of a model transformation that is developed for user model integration, which is the normal purpose of traditional model transformation. For the syntactical inconsistency issue, we introduce the concept of the complete meta-model for defining how to represent a model syntactically as well as semantically. Our approach addresses the syntactical inconsistency issue by generating necessary complete meta-models using a special type of model transformation.