Building consistent sample databases to support information system evolution and migration

  • Jesus Bisbal
  • , Bing Wu
  • , Deirdre Lawless
  • , Jane Grimson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Prototype databases are needed in any information system development process to support data-intensive applications development. It is common practice to populate these databases using synthetic data. This data usually bears little relation to the application’s domain and considers only a very reduced subset of the integrity constraints the database will hold during operation. This paper claims that in situations where operational data is available, as is the case in information system evolution and migration, a sample of this data must be used to create a prototype database. The paper outlines a method for consistently sampling a database. This method uses a new concept, the Insertions Chain Graph, to assist in selecting instances so that the resulting Sample Database reaches a consistent state, a significant task of database sampling.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 9th International Conference, DEXA 1998, Proceedings
EditorsGerald Quirchmayr, Erich Schweighofer, Trevor J.M. Bench-Capon
PublisherSpringer Verlag
Pages196-205
Number of pages10
ISBN (Print)3540649506, 9783540649502
DOIs
Publication statusPublished - 1998
Externally publishedYes
Event9th International Conference on Database and Expert Systems Applications, DEXA 1998 - Vienna, Austria
Duration: 24 Aug 199828 Aug 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1460
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Database and Expert Systems Applications, DEXA 1998
Country/TerritoryAustria
CityVienna
Period24/08/9828/08/98

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