Himesis : a hierarchical subgraph matching kernel for model driven development

Himesis is a complete yet minimal kernel for meta-modelling and model transformation, which consists of a specification of hierarchical graphs and in a highly efficient matching algorithm. Himesis graphs encode the essence of models: nodes, edges, containment, attributes, names and labels. There is...

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Bibliographic Details
Main Author: Provost, Marc, 1981-
Format: Others
Language:en
Published: McGill University 2005
Subjects:
Online Access:http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98772

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