Application of Stochastic Reliability Modeling to Waterfall and Feature Driven Development Software Development Lifecycles

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dc.contributor.advisorModarres, Mohammeden_US
dc.contributor.advisorSmidts, Carol Sen_US
dc.contributor.authorJohnson, David Michaelen_US
dc.contributor.departmentReliability Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2012-02-17T07:06:07Z
dc.date.available2012-02-17T07:06:07Z
dc.date.issued2011en_US
dc.description.abstractThere are many techniques for performing software reliability modeling. In the environment of software development some models use the stochastic nature of fault introduction and fault removal to predict reliability. This thesis research analyzes a stochastic approach to software reliability modeling and its performance on two distinct software development lifecycles. The derivation of the model is applied to each lifecycle. Contrasts between the lifecycles are shown. Actual data collected from industry projects illustrate the performance of the model to the lifecycle. Actual software development fault data is used in select phases of each lifecycle for comparisons with the model predicted fault data. Various enhancements to the model are presented and evaluated, including optimization of the parameters based on partial observations.en_US
dc.identifier.urihttp://hdl.handle.net/1903/12359
dc.subject.pqcontrolledComputer engineeringen_US
dc.subject.pqcontrolledComputer scienceen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pquncontrolledDevelopmenten_US
dc.subject.pquncontrolledLifecyclesen_US
dc.subject.pquncontrolledModelingen_US
dc.subject.pquncontrolledReliabilityen_US
dc.subject.pquncontrolledSoftwareen_US
dc.subject.pquncontrolledStochasticen_US
dc.titleApplication of Stochastic Reliability Modeling to Waterfall and Feature Driven Development Software Development Lifecyclesen_US
dc.typeThesisen_US

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