The Proposal of Model Transformation Support Method Based on Model Editing Operation History.

GCCE(2019)

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摘要
Model Transformation is the tools of Model-driven development which realize the automation of model tasks (e.g. Refactoring, Modification). However, the tasks of model transformation require highly skills to create transformation rules. This makes it difficult for developers to work with models. In this paper, we propose a transformation support method to extract transformation rules based on the operation history of model editing by sequential pattern mining. Through the application of this proposal to simple case study, Model Division Pattern was generated as reusable pattern.
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关键词
model transformation,sequential pattern mining
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