Title
The case for mesodata: An empirical investigation of an evolving database system
Abstract
Database evolution can be considered a combination of schema evolution, in which the structure evolves with the addition and deletion of attributes and relations, together with domain evolution in which an attribute's specification, semantics and/or range of allowable values changes. We present the results of an empirical investigation of the evolution of a commercial database system that measures and delineates between changes to the database that are (a) structural and (b) attribute domain related. We also estimate the impact that modelling using the mesodata approach would have on the evolving system.
Year
DOI
Venue
2007
10.1016/j.infsof.2006.11.001
Information & Software Technology
Keywords
Field
DocType
mesodata,allowable values change,structure evolves,mesodata approach,domain evolution,empirical investigation,attribute domain,schema evolution,commercial database system,database evolution,database system
Evolving systems,Data mining,Semi-structured model,Computer science,Database schema,Database design,Schema evolution,Semantics,Database,Attribute domain
Journal
Volume
Issue
ISSN
49
9-10
Information and Software Technology
Citations 
PageRank 
References 
7
0.53
28
Authors
2
Name
Order
Citations
PageRank
Denise De Vries1538.14
John F. Roddick21908331.20