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Monitoring Fault Classification Agreement in an Industrial Context
Responsible organisation
2005 (English)Conference paper, (Refereed) Published
Abstract [en]

Based on prior investigations and the request from a collaborative research partner, UIQ Technology, an investigation to develop an improved and more informative fault classification scheme was launched. The study investigates the level of agreement, a prerequisite for using a fault classification, between classifiers in an industrial setting. The method used is an experimental approach performed in an industrial setting for determining the agreement among classifiers facilitating for example Kappa statistics for determining the agreement. From the study it is concluded that the agreement within the industrial setting is higher than obtained in a previous study within an academic setting, but it is still in need of improvement. This leads to the conclusion that the experience within industry as well as the improved information structure in relation to the previous study aids agreement, but to reach a higher level of agreement, additional education is believed to be needed at the company.

Place, publisher, year, edition, pages
2005.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-8785Local ID: oai:bth.se:forskinfoCE59658B0386BB80C12573C6004841DAOAI: oai:DiVA.org:bth-8785DiVA: diva2:836538
Conference
Proceedings of 9th Conference on Empirical Assessment in Software Engineering
Available from: 2012-09-18 Created: 2008-01-04 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
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  • de-DE
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Output format
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