Software testing tools and productivity

dc.contributor.advisorZage, Dolores M.en_US
dc.contributor.authorMoschoglou, Georgios M.en_US
dc.date.accessioned2011-06-03T19:37:35Z
dc.date.available2011-06-03T19:37:35Z
dc.date.created1996en_US
dc.date.issued1996
dc.description.abstractTesting statistics state that testing consumes more than half of a programmer's professional life, although few programmers like testing, fewer like test design and only 5% of their education will be devoted to testing. The main goal of this research is to test the efficiency of two software testing tools. Two experiments were conducted in the Computer Science Department at Ball State University. The first experiment compares two conditions - testing software using no tool and testing software using a command-line based testing tool - to the length of time and number of test cases needed to achieve an 80% statement coverage for 22 graduate students in the Computer Science Department. The second experiment compares three conditions - testing software using no tool, testing software using a command-line based testing tool, and testing software using a GUI interactive tool with added functionality - to the length of time and number of test cases needed to achieve 95% statement coverage for 39 graduate and undergraduate students in the same department.
dc.description.degreeThesis (M.S.)
dc.description.sponsorshipDepartment of Computer Science
dc.format.extent140 leaves : ill. ; 28 cm.en_US
dc.identifierLD2489.Z78 1996 .M68en_US
dc.identifier.cardcat-urlhttp://liblink.bsu.edu/catkey/1014862en_US
dc.identifier.urihttp://cardinalscholar.bsu.edu/handle/20.500.14291/185682
dc.sourceVirtual Pressen_US
dc.subject.lcshComputer software -- Testing.en_US
dc.subject.lcshComputer software -- Verification.en_US
dc.subject.lcshComputer software -- Quality control.en_US
dc.subject.lcshError-correcting codes (Information theory)en_US
dc.titleSoftware testing tools and productivityen_US
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