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Probabilistic Quality Models to Improve Communication and Actionability
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-0835-823X
2015 (English)In: 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), IEEE: IEEE Press, 2015, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

We need to aggregate metric values to make quality assessment actionable. However, due to properties of metric values, i.e., unknown distributions and different measurement scales, they are difficult to aggregate. We present and evaluate a method to aggregate metric values based on observed numerical distributions that are converted into cumulative density functions. We use these to determine the probability of each metric and file, and aggregate these. Our limited study suggests that the method improves correctness, communication, and the ability to take action. However, more evaluation is required.

Place, publisher, year, edition, pages
IEEE: IEEE Press, 2015. p. 1-4
Keywords [en]
Measurement, Aggregates, Computational modeling, Probability density function, Couplings, Complexity theory, Software quality
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-51789DOI: 10.1109/ASEW.2015.16ISI: 000380563500001Scopus ID: 2-s2.0-84964555348ISBN: 978-1-4673-9775-9 (print)OAI: oai:DiVA.org:lnu-51789DiVA, id: diva2:916034
Conference
30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW) 2015, 9-13 November, 2015, Lincoln
Available from: 2016-03-31 Created: 2016-03-31 Last updated: 2018-01-10Bibliographically approved

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Ericsson, MorganLöwe, WelfWingkvist, Anna

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CiteExportLink to record
Permanent link

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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