Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Typology of database quality factors

Typology of database quality factors Databases are a critical element of virtually all conventional and ebusiness applications. How does an organization know if the information derived from the database is any good? To ensure a quality database application, should the emphasis during model development be on the application of quality assurance metrics (designing it right)? A large number of database applications fail or are unusable. A quality process does not necessarily lead to a usable database product. A database application can also be ‘well-formed’ with high data quality but lack semantic or cognitive fidelity (the right design). This paper expands on the growing body of literature in the area of data quality by proposing additions to a hierarchy of database quality dimensions that includes model and behavioral factors in addition to process and data factors. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Software Quality Journal Springer Journals

Typology of database quality factors

Software Quality Journal , Volume 7 (4) – Oct 6, 2004

Loading next page...
 
/lp/springer-journals/typology-of-database-quality-factors-tynU0ejaun

References (45)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Computer Science; Software Engineering/Programming and Operating Systems; Programming Languages, Compilers, Interpreters; Operating Systems; Data Structures, Cryptology and Information Theory
ISSN
0963-9314
eISSN
1573-1367
DOI
10.1023/A:1008923120973
Publisher site
See Article on Publisher Site

Abstract

Databases are a critical element of virtually all conventional and ebusiness applications. How does an organization know if the information derived from the database is any good? To ensure a quality database application, should the emphasis during model development be on the application of quality assurance metrics (designing it right)? A large number of database applications fail or are unusable. A quality process does not necessarily lead to a usable database product. A database application can also be ‘well-formed’ with high data quality but lack semantic or cognitive fidelity (the right design). This paper expands on the growing body of literature in the area of data quality by proposing additions to a hierarchy of database quality dimensions that includes model and behavioral factors in addition to process and data factors.

Journal

Software Quality JournalSpringer Journals

Published: Oct 6, 2004

There are no references for this article.