An Evaluation of Multi-Level Modeling Frameworks for Extensible Graphical Editing Tools

نویسندگان

  • Kosaku Kimura
  • Kazunori Sakamoto
چکیده

We need to have comprehensive knowledge about when, where and how we should use multi-level modeling methodologies and frameworks. There are previous work that introduce patterns and confirm the applicability of the methodologies. However, it is still difficult to select frameworks for various kinds of applications. In this paper, we focus on graphical editing tools as an application of multi-level modeling frameworks, and evaluates the capability for modeling and extensibility of multi-level modeling frameworks. We introduce a dataflow model as an example model of graphical editing tools. The evaluation result shows that Melanee can describe the dataflow model more accurately and can extend metamodels and metametamodels with less changes to existing elements.

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تاریخ انتشار 2016