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dc.contributor.authorGoff, Roger Allenen
dc.date.accessioned2014-03-14T21:49:38Zen
dc.date.available2014-03-14T21:49:38Zen
dc.date.issued1987-06-15en
dc.identifier.otheretd-11142012-040332en
dc.identifier.urihttp://hdl.handle.net/10919/45686en
dc.description.abstract

For many years the software engineering community has been attacking the software reliability problem on two fronts. First via design methodologies, languages and tools as a precheck on quality and second by measuring the quality of produced software as a postcheck. This research attempts to unify the approach to creating reliable software by providing the ability to measure the quality of a design prior to its implementation. Also presented is a comparison of a graphical and a textual design language in an effort to support cognitive science research findings that the human brain works more effectively in images than in text.

en
dc.format.mediumBTDen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1987.G633.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSoftware maintenanceen
dc.subject.lccLD5655.V855 1987.G633en
dc.titleComplexity measurement of a graphical programming language and comparison of a graphical and a textual design languageen
dc.typeThesisen
dc.contributor.departmentComputer Science and Applicationsen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineComputer Science and Applicationsen
dc.contributor.committeechairHenry, Sallie M.en
dc.contributor.committeememberHartson, H. Rexen
dc.contributor.committeememberKafura, Dennis G.en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11142012-040332/en
dc.date.sdate2012-11-14en
dc.date.rdate2012-11-14en
dc.date.adate2012-11-14en


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