A Model Transformation Classification Method Used in QVT

摘要：

Aiming at potential pitfalls concerning interactivity and consistency of model driven development, this paper provides a new method of model transformation classification named MTCM. The method analyses the differences belween the modeling language, the modeled system and the model itself, then makes a fine-granularity classification of model transformation based on the analyze. Afterwards, the classification is applied to the research of the model transformation standard Query/View/Transformation(QVT), which proposed by OMG together with Model Driven Architecture(MDA), and one of its classic example of the model transforming process from Ecore model to Kermeta model have been evaluated and verified critically. With the conclusion of analyzing QVT with the classification, we believe that understanding the MTCM method deeply is an important prerequisite for improving the veracity and efficiency of model transformation.

作者: Jun Zhang Shufen Liu Xiaoyan Wang Tingting Qin

作者单位: College of Computer Science and Technology,Jilin University,Jilin Changchun 130012,China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 464-468

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）