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dc.contributor.authorBörgens, Manfred
dc.contributor.authorHemmerich, Thomas
dc.contributor.authorRüssel, Ludwig B.
dc.description.abstractCost overruns are widespread in software development projects. Though various tools for risk analysis are in use, a manager still needs a simple and powerful method predicting success or failure of software projects. This paper proposes discriminant analysis as an appropriate tool. It has successfully been used for predicting bancruptcy and for credit contract classification. Discriminant analysis needs predictor variables for assigning a group classification (successful / failing) to each project. The data base for predictors and groups was established in a major German company by analyzing 107 software projects. The discriminant functions calculated can be used as a caveat against cost overruns as the reliability of failure predictions could be proven to be sufficiently high.de
dc.format.extent10 S.de
dc.publisherTechnische Hochschule Mittelhessen; Gießende
dc.relation.ispartofseriesFriedberger Hochschulschriften;4
dc.subjectDiscriminant analysis, software projects, risk management, cost estimationde
dc.titleUse of Discriminant Analysis in Forecasting the Success of a Software Development Projectde
dc.typeVerschiedenartige Textede
dcterms.accessRightsopen accessde
dc.description.versionPublished Versionde

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