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Title: Semantic Modelling for Product Line Engineering
Authors: Roshchin, Mikhail
Graubmann, Peter
Kamaev, Valery
Keywords: Variability Modeling
Semantic Modeling
Product Line Engineering
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: The aim of our work is to present solutions and a methodical support for automated techniques and procedures in domain engineering, in particular for variability modeling. Our approach is based upon Semantic Modeling concepts, for which semantic description, representation patterns and inference mechanisms are defined. Thus, model-driven techniques enriched with semantics will allow flexibility and variability in representation means, reasoning power and the required analysis depth for the identification, interpretation and adaptation of artifact properties and qualities.
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 4

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