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dc.contributor.authorMacDonell, Stephenen_NZ
dc.contributor.authorGray, Andrewen_NZ
dc.date.available2011-04-07T03:06:12Z
dc.date.copyright1996-09en_NZ
dc.identifier.citationMacDonell, S., & Gray, A. (1996). Alternatives to regression models for estimating software projects (Information Science Discussion Papers Series No. 96/17). University of Otago. Retrieved from http://hdl.handle.net/10523/1035en
dc.identifier.urihttp://hdl.handle.net/10523/1035
dc.description.abstractThe use of ‘standard’ regression analysis to derive predictive equations for software development has recently been complemented by increasing numbers of analyses using less common methods, such as neural networks, fuzzy logic models, and regression trees. This paper considers the implications of using these methods and provides some recommendations as to when they may be appropriate. A comparison of techniques is also made in terms of their modelling capabilities with specific reference to function point analysis.en_NZ
dc.format.mimetypeapplication/pdf
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Seriesen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleAlternatives to regression models for estimating software projectsen_NZ
dc.typeDiscussion Paperen_NZ
dc.description.versionUnpublisheden_NZ
otago.bitstream.pages16en_NZ
otago.date.accession2011-01-25 19:38:59en_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.place.publicationDunedin, New Zealanden_NZ
dc.identifier.eprints1071en_NZ
otago.school.eprintsSoftware Metrics Research Laboratoryen_NZ
otago.school.eprintsInformation Scienceen_NZ
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otago.relation.number96/17en_NZ
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