Model scalability using a model recording and inference engine
Yu Tao Sun · 2010
Model scalability is traditionally supported by manual editing or writing model transformation rules. However, this process presents challenges to those who are unfamiliar with a model transformation language or metamodel definitions. This poster describes an approach to scale models by recording and analyzing demonstrated operations by end-users.