Window Local Complexity Software Metrics

dc.contributor.advisorDavis, Wilbon
dc.contributor.authorSimatovic, Boris
dc.contributor.committeeMemberHazlewood, Carol
dc.contributor.committeeMemberZalewski, Janusz
dc.date.accessioned2023-12-19T23:45:59Z
dc.date.available2023-12-19T23:45:59Z
dc.date.issued1991-07
dc.description.abstractIt has been established that in a typical software project over 50 percent of the time is spent locating and correcting errors, debugging the program. There are many factors that influence debugging time. Software metrics quantitatively characterize the essential features and objectively present models related to complexity of computer programs. Several models are presented that have been developed to characterize and improve the quality of a software product. A tool for measuring software complexity is developed. It is based on elements of Halstead's Software Science and uses window local complexity as a software product metric. Various local complexity metrics and relationships among them are examined, and correlation with testing effort is given. The results of an experiment to relate metrics to testing effort for a collection of Fortran programs are presented.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent136 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationSimatovic, B. (1991). Window local complexity software metrics (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/17815
dc.language.isoen
dc.subjectcomputer programs
dc.subjectdebugging
dc.subjectFORTRAN
dc.titleWindow Local Complexity Software Metrics
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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