Computer Science: Faculty Publications
Taxonomy of Data Modeling Patterns
Document Type
Conference Proceeding
Publication Date
5-2011
Publication Title
MIPRO XXVI
Abstract
The paper presents the development and meaning of patterns for data modeling. Patterns are also used in the process of learning to design and in data modeling design itself. The purpose of this paper is to present the two faceted taxonomy; other specific contributions are: a) Operational definition of a data model pattern b) Defined practice for minimal data model pattern specification at the M2 MOF abstraction level c) Definitions of data model pattern measures of size and McCabe like complexity.
Recommended Citation
Jovanovic, Vladan, Mile Pavlic.
2011.
"Taxonomy of Data Modeling Patterns."
MIPRO XXVI Opatia, Croatia.
source: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5967245
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/34
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
