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dc.contributor.authorBowes, David
dc.contributor.authorHall, Tracy
dc.contributor.authorGray, David
dc.date.accessioned2013-02-12T11:30:00Z
dc.date.available2013-02-12T11:30:00Z
dc.date.issued2012
dc.identifier.citationBowes , D , Hall , T & Gray , D 2012 , Comparing the performance of fault prediction models which report multiple performance measures : recomputing the confusion matrix . in Procs of the 8th Int Conf on Predictive Models in Software Engineering : PROMISE'12 . PROMISE '12 , ACM Press , New York, NY, USA , pp. 109-118 . https://doi.org/10.1145/2365324.2365338
dc.identifier.isbn978-1-4503-1241-7
dc.identifier.otherBibtex: urn:6bf9e85694dfceb535c03af401d1a4a0
dc.identifier.urihttp://hdl.handle.net/2299/9969
dc.descriptionAwarded Best Paper in Conference. "© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Procs of the 8th Int Conf on Predictive Models in Software Engineering http://doi.acm.org/10.1145/2365324.2365338"
dc.description.abstractThere are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly comparable. This lack of comparability means that it is often difficult to evaluate the performance of one model against another. Our aim is to present an approach that allows other researchers and practitioners to transform many performance measures of categorical studies back into a confusion matrix. Once performance is expressed in a confusion matrix alternative preferred performance measures can then be derived. Our approach has enabled us to compare the performance of 600 models published in 42 studies. We demonstrate the application of our approach on several case studies, and discuss the advantages and implications of doing this.en
dc.format.extent10
dc.format.extent258854
dc.language.isoeng
dc.publisherACM Press
dc.relation.ispartofProcs of the 8th Int Conf on Predictive Models in Software Engineering
dc.relation.ispartofseriesPROMISE '12
dc.titleComparing the performance of fault prediction models which report multiple performance measures : recomputing the confusion matrixen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.versionofrecord10.1145/2365324.2365338
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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