Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Testing the consistency of business data objects using extended static testing of CRUD matrices
The Czech Technical University in Prague, CZE.ORCID iD: 0000-0002-2994-7826
ECS Baylor University, USA..ORCID iD: 0000-0002-5882-5502
The Czech Technical University in Prague, CZE.
The Czech Technical University in Prague, CZE ;Salahaddin University, IRQ.ORCID iD: 0000-0001-9051-7609
2019 (English)In: Cluster Computing, ISSN 1386-7857, E-ISSN 1573-7543, Vol. 22, p. 963-976Article in journal (Refereed) Published
Abstract [en]

Static testing is used to detect software defects in the earlier phases of the software development lifecycle, which makes the total costs caused by defects lower and the software development project less risky. Different types of static testing have been introduced and are used in software projects. In this paper, we focus on static testing related to data consistency in a software system. In particular, we propose extensions to contemporary static testing techniques based on CRUD matrices, employing cross-verifications between various types of CRUD matrices made by different parties at various stages of the software project. Based on performed experiments, the proposed static testing technique significantly improves the consistency of Data Cycle Test cases. Together with this trend, we observe growing potential of test cases to detect data consistency defects in the system under test, when utilizing the proposed technique.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2019. Vol. 22, p. 963-976
Keywords [en]
Static testing, Data consistency testing, Data Cycle Test, CRUD matrix
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-86838DOI: 10.1007/s10586-017-1118-7ISI: 000480653200084OAI: oai:DiVA.org:kau-86838DiVA, id: diva2:1608360
Available from: 2021-11-03 Created: 2021-11-03 Last updated: 2022-05-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Ahmed, Bestoun S.

Search in DiVA

By author/editor
Bures, MiroslavCerny, TomasAhmed, Bestoun S.
In the same journal
Cluster Computing
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 119 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf