Version Management for Reference Models: Design and Implementation

Oliver Thomas ()
Additional contact information
Oliver Thomas: Saarland University

A chapter in Reference Modeling, 2007, pp 1-26 from Springer

Abstract: Abstract The central idea in reference modeling is the reutilization of the business knowledge contained in a reference model for the construction of specific information models. The user’s task in reference model-based construction is the adaptation of the reference model. The derivation of specific models from reference models characterized as such corresponds with the creation of reference model variants. Research on the design of such variant constructions generally assumes an unchangeable stock of reference models. The potentials available in the management of these variant constructions, which reflect the changes in reference models through time and, in doing so, their evolutionary development, has not yet been tapped into. The article at hand analyzes this problem and presents a concept for the version management of reference models as a solution. The task to be mastered using the proposed approach will be concretized using data structures and a system architecture, as well as prototypically implemented in the form of an application system.

Keywords: Reference Model; Information Model; Version Management; Model Database; Ence Model (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1966-3_1

Ordering information: This item can be ordered from
http://www.springer.com/9783790819663

DOI: 10.1007/978-3-7908-1966-3_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().