Software Complexity as a Predictor of Defects

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dc.contributor.advisorDavis, Wilborn
dc.contributor.authorBenson, Jennie
dc.contributor.committeeMemberHazelwood, Carol
dc.contributor.committeeMemberMartin, Cecil
dc.date.accessioned2024-03-01T20:50:22Z
dc.date.available2024-03-01T20:50:22Z
dc.date.issued1996-07
dc.description.abstractSoftware inspections are generally considered to be an effective means of finding and correcting errors at the coding stage of the software development cycle. Due to a number of reasons, project teams often find it impractical to inspect every module. When only a portion of the modules can be inspected, an objective criteria for selecting which modules are more likely to have errors, and therefore should be inspected, is desired. High software complexity is contributing factor to an increased rate of errors in the software modules. Selection of a complexity metric that can be easily measured and which can be shown to reliably predict the probability of errors could be used as a criterion for selecting modules for inspection. A tool for measuring software complexity is developed. It measures the Software Science metric of difficulty which was first proposed by Maurice Halstead. This tool was used to obtain data from a database of commercial software. The results, and what they show about the relationship of Software Science's metric for difficulty and the probability of selecting modules with errors, are presented.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent122 pages
dc.format.medium7 file (.pdf)
dc.identifier.citationBenson, J. (1996). Software complexity as a predictor of defects (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/18169
dc.language.isoen
dc.subjectcomputer software
dc.subjectdefects
dc.subjectsampling
dc.subjectcomputer programming
dc.subjectquality control
dc.subjectcomputer industry
dc.titleSoftware Complexity as a Predictor of Defects
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorSouthwest Texas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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