Estimating Software Effort Hours for Major Defense Acquisition Programs

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dc.contributor.advisorLoerch, Andrew G.
dc.contributor.authorWallshein, Corinne C.
dc.creatorWallshein, Corinne C.
dc.date2010-07-24
dc.date.accessioned2010-11-02T13:55:23Z
dc.date.availableNO_RESTRICTION
dc.date.available2010-11-02T13:55:23Z
dc.date.issued2010-11-02
dc.description.abstractSoftware Cost Estimation (SCE) uses labor hours or effort required to conceptualize, develop, integrate, test, field, or maintain program components. Department of Defense (DoD) SCE can use initial software data parameters to project effort hours for large, software-intensive programs for contractors reporting the top levels of process maturity, assuming these levels produce acceptable quality. Statistical analysis using ordinary least squares (OLS) proved initial parameters, such as estimated hours, initial peak staff, or estimated software size, could accurately predict actual effort hours. DoD cost estimating relationship (CER) equations differed by process maturity levels and differed for application area subsets by process maturity level. Grouping by application area subsets or adding Earned Value Management System‟s metrics (such as Schedule Performance Index and Cost Performance Index) did not consistently improve CER accuracy for the top two process maturity levels.
dc.identifier.urihttps://hdl.handle.net/1920/6025
dc.language.isoen_US
dc.subjectSoftware cost estimating
dc.subjectSoftware effort estimating
dc.subjectEarned value management
dc.subjectOrdinary least squares
dc.subjectDepartment of Defense
dc.subjectPrediction accuracy
dc.titleEstimating Software Effort Hours for Major Defense Acquisition Programs
dc.typeDissertation
thesis.degree.disciplineInformation Technology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy Information Technology

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