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
Is Common Test Data the Solution to Poor Quality?: Solving the Right Problem – An Analysis of a Public Health Information System
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (SERG)ORCID iD: 0000-0003-1777-884X
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (SERG)
2013 (English)In: Procedia Technology: HCIST 2013 - International Conference on Health and Social Care Information Systems and Technologies / [ed] Maria Manuela Cruz-Cunha, João Varajão, Helmut Krcmar and Ricardo Martinho, Elsevier, 2013, Vol. 9, p. 1227-1236Conference paper, Published paper (Refereed)
Abstract [en]

This paper reports our initial findings regarding the state of testing of software in the Swedish public health information system. At present, the system is only available through a black-box interface, i.e. through the GUI. This and other issues related to politics, management and organization indicate that much work is needed in order for the software to have the quality level expected by a safety-critical system. The proposed solution by the public health organization for raising the quality is to use an independent test database. Based on our initial understanding of the problem, we argue that there might be other solutions that would perhaps be more cost-effective and have a stronger impact on the quality of the system. Our main contribution lies in the data analysis, where we have collected the problems and suggested alternative cost-saving solutions.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 9, p. 1227-1236
Series
Procedia Technology, ISSN 2212-0173
Keywords [en]
Software testing, Public health care, Acceptance testing, Test automation, Interoperability, Information System
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-35987DOI: 10.1016/j.protcy.2013.12.137OAI: oai:DiVA.org:kau-35987DiVA, id: diva2:810890
Conference
HCIST 2013 - International Conference on Health and Social Care Information Systems and Technologies
Projects
CBIC III
Funder
Knowledge Foundation, CBIC IIIAvailable from: 2015-05-08 Created: 2015-05-08 Last updated: 2020-06-26

Open Access in DiVA

fulltext(775 kB)297 downloads
File information
File name FULLTEXT01.pdfFile size 775 kBChecksum SHA-512
b640d6f358f643e9b53dc77eed087ef882b86570918a0da5c809b4e6905a9c50977cb5c7783dde308acc297d8650af374aa09f518a91878ccdd7e8308e0f90b4
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Blom, MartinEldh, Sigrid

Search in DiVA

By author/editor
Blom, MartinEldh, Sigrid
By organisation
Department of Mathematics and Computer Science (from 2013)
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 297 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 629 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