A Solution Framework on Fundamentals in Model Transformation
Yucong Duan, Kyo-Chul Kang, Yuqing Gu · 2008
With the great achievements and successes in model transformations (MT), we propose to study MTs from an open and general cognitive background which differs from most current practice. Issues under study cover the broad scope of openness, incompleteness, uncertainty, quality management, human vs. machine aspects, etc, in the evolving process composed of MTs. A solution framework corresponding to some of these issues is proposed to help promote its use and deployment.