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Estimation of software size and effort distributions using paired ratio comparison matrices

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dc.contributor.author Lum, K. en_US
dc.contributor.author Hihn, J. en_US
dc.date.accessioned 2004-09-16T23:03:48Z
dc.date.available 2004-09-16T23:03:48Z
dc.date.issued 2003-06-17 en_US
dc.identifier.citation Fourth Joint Annual ISPA/SCEA International Conference en_US
dc.identifier.citation Orlando, FL, USA en_US
dc.identifier.clearanceno 03-1005 en_US
dc.identifier.uri http://hdl.handle.net/2014/7276
dc.description.abstract This paper describes the approach and algorithms used to generalize the paired ratio comparison matrix technique to use information inherent in multiple estimates, multiple reference projects, and estimator range information to generate estimated effort and size distributions. en_US
dc.format.extent 3804231 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other software estimation paired comparison matrix en_US
dc.title Estimation of software size and effort distributions using paired ratio comparison matrices en_US


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