Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Data Collection Prioritization for System Quality Analysis
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3089-3885
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-2017-7914
Show others and affiliations
2009 (English)In: Electronic Notes in Theoretical Computer Science, 2009, Vol. 233, no C, 29-42 p.Conference paper, Published paper (Refereed)
Abstract [en]

When assessing software quality the cost of collecting the data needed for analysis is often quite substantial. This paper proposes the use of Bayesian networks for assessing software qualities combined with an algorithm for how to prioritize which data to collect in order to minimize the cost of the assessment. This algorithm, the Diagnosis algorithm, is implemented in the Bayesian network tool 'GeNIe'. An example evaluation of service interoperability in the paper demonstrates that using the algorithm may reduce time spent on data collection significantly.

Place, publisher, year, edition, pages
2009. Vol. 233, no C, 29-42 p.
Keyword [en]
Bayesian Networks, Data collection Strategies, System Quality Analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-78992DOI: 10.1016/j.entcs.2009.02.059Scopus ID: 2-s2.0-62849094283OAI: oai:DiVA.org:kth-78992DiVA: diva2:493965
Conference
Electronic Notes in Theoretical Computer Science
Note

QC 20120215

Available from: 2012-02-08 Created: 2012-02-08 Last updated: 2015-07-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Johnson, PontusLagerström, RobertFranke, UlrikEkstedt, Mathias

Search in DiVA

By author/editor
Närman, PerJohnson, PontusLagerström, RobertFranke, UlrikEkstedt, Mathias
By organisation
Industrial Information and Control Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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