Publication type: Conference paper
Type of review: Peer review (publication)
Title: Dynamic metamodel extension modules to support adaptive data management
Authors: Grossniklaus, Michael
Leone, Stefania
de Spindler, Alexandre
Norrie, Moira C.
DOI: 10.1007/978-3-642-13094-6_29
Proceedings: Proceedings of CAiSE 2010 : 22nd International Conference on advanced information systems engineering
Editors of the parent work: Pernici, Barbara
Pages: 363
Pages to: 377
Conference details: 22nd International Conference on Advanced Information Systems Engineering (CAiSE 2010), Hammamet, 7-9 June 2010
Issue Date: 2010
Series: Lecture Notes in Computer Science
Series volume: 6051
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Berlin
ISBN: 978-3-642-13093-9
ISSN: 0302-9743
Language: English
Subjects: Metamodel; Adaptive; Data management
Subject (DDC): 004: Computer science
005: Computer programming, programs and data
Abstract: Databases are now used in a wide variety of settings resulting in requirements which may differ substantially from one application to another, even to the point of conflict. Consequently, there is no database product that can support all forms of information systems ranging from enterprise applications to personal information systems running on mobile devices. Further, domains such as the Web have demonstrated the need to cope with rapidly evolving requirements. We define dynamic metamodel extension modules that support adaptive data management by evolving a system in the event of changing requirements and show how this technique was applied to cater for specific application settings.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Management and Law
Organisational Unit: Institute of Business Information Technology (IWI)
Appears in collections:Publikationen School of Management and Law

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