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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Type Inference in Flexible Model-Driven Engineering
verfasst von : Athanasios Zolotas, Nicholas Matragkas, Sam Devlin, Dimitrios S. Kolovos, Richard F. Paige
Erschienen in: Modelling Foundations and Applications
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In Model-Driven Engineering (MDE), models conform to metamodels. In
flexible modelling
, engineers construct example models with free-form drawing tools; these examples may later need to conform to a metamodel. Flexible modelling can lead to errors: drawn elements that should represent the same domain concept could instantiate different types; other drawn elements could be left untyped. We propose a novel
type inference
approach to calculating types from example models, based on the Classification and Regression Trees (CART) algorithm. We describe the approach and evaluate it on a number of randomly generated models, considering the accuracy and precision of the resultant classifications. Experimental results suggest that on average 80% of element types are correctly identified. In addition, the results reveal a correlation between the accuracy and the ratio of known-to-unknown types in a model.