Learning Support Technique of Software Visual Modeling Using Place/Transition Nets
Yuki Ue, Tomohiko Takagi · Proceedings of International Conference on Artificial Life and Robotics · 2020
This paper shows a learning support technique of software visual modeling.The ideas of block and animated graphics are introduced into this technique in order that learners can intuitively understand the notation and behavior of models, and can be given guidance about the way to construct proper models.Place/transition net is selected as a modeling language in this paper, but other formal behavioral modeling languages based on directed graphs also can be introduced into this technique.