|Publication type:||Conference paper|
|Type of review:||Peer review (publication)|
|Title:||Dynamic metamodel extension modules to support adaptive data management|
|Authors :||Grossniklaus, Michael|
de Spindler, Alexandre
Norrie, Moira C.
|Proceedings:||Proceedings of CAiSE 2010 : 22nd International Conference on advanced information systems engineering|
|Editors of the parent work:||Pernici, Barbara|
|Conference details:||22nd International Conference on Advanced Information Systems Engineering (CAiSE 2010), Hammamet, 7-9 June 2010|
|Series :||Lecture Notes in Computer Science|
|Publisher / Ed. Institution :||Springer|
|Publisher / Ed. Institution:||Berlin|
|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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