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Title
Dual deep modeling : multi-level modeling with dual potencies and its formalization in F-Logic
AuthorNeumayr, Bernd ; Schütz, Christoph G. ; Jeusfeld, Manfred A. ; Schrefl, Michael
Published in
Software and Systems Modeling, 2018, Vol. 17, Issue 1, page 233-268
PublishedSpringer, 2018
LanguageEnglish
Document typeJournal Article
Keywords (EN)Database modeling / Deep instantiation / Clabject / UML / Deep modeling notation
ISSN1619-1374
URNurn:nbn:at:at-ubl:3-1500 Persistent Identifier (URN)
DOI10.1007/s10270-016-0519-z 
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 The work is publicly available
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Dual deep modeling [5.07 mb]
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Abstract (English)

An enterprise database contains a global, integrated, and consistent representation of a companys data. Multi-level modeling facilitates the definition and maintenance of such an integrated conceptual data model in a dynamic environment of changing data requirements of diverse applications. Multi-level models transcend the traditional separation of class and object with clabjects as the central modeling primitive, which allows for a more flexible and natural representation of many real-world use cases. In deep instantiation, the number of instantiation levels of a clabject or property is indicated by a single potency. Dual deep modeling (DDM) differentiates between source potency and target potency of a property or association and supports the flexible instantiation and refinement of the property by statements connecting clabjects at different modeling levels. DDM comes with multiple generalization of clabjects, subsetting/specialization of properties, and multi-level cardinality constraints. Examples are presented using a UML-style notation for DDM together with UML class and object diagrams for the representation of two-level user views derived from the multi-level model. Syntax and semantics of DDM are formalized and implemented in F-Logic, supporting the modeler with integrity checks and rich query facilities.

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CC-BY-License (4.0)Creative Commons Attribution 4.0 International License