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dc.contributor.advisorLively, William McCain
dc.contributor.advisorSimmons, Dick Bradford
dc.creatorMa, Norman K.
dc.date.accessioned2010-01-15T00:04:06Z
dc.date.accessioned2010-01-16T00:20:01Z
dc.date.available2010-01-15T00:04:06Z
dc.date.available2010-01-16T00:20:01Z
dc.date.created2007-12
dc.date.issued2009-05-15
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2039
dc.description.abstractThe estimation of software project attributes, such as size, is important for software project resource planning and process control. However, research regarding software attribute modeling, such as size, effort, and cost, are high-level and static in nature. This research defines a new operation-level software project attribute that describes the operational characteristic of a software project. The result is a measurement based on the s-curve parameter that can be used as a control variable for software project management. This result is derived from modeling the count of artifact instances created by the software engineering process, which are stored by software tools. Because of the orthogonal origin of this attribute in regard to traditional static estimators, this s-curve based software attribute can function as an additional indicator of software project activities and also as a quantitative metric for assessing development team capability.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.urihttps://hdl.handle.net/1969.1/85804
dc.subjectArtifact counten
dc.subjects-curveen
dc.subjectsofttware project managementen
dc.titleModeling software artifact count attribute with s-curvesen
dc.typeThesisen
thesis.degree.departmentComputer Scienceen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoralen
dc.contributor.committeeMemberHall, Robert J.
dc.contributor.committeeMemberPooch, Udo W.
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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