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Detecting Errors in Computer Programs

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dc.contributor.author Hetzel, Bill
dc.contributor.author Calingaert, Peter
dc.date.accessioned 2018-05-23T14:44:12Z
dc.date.available 2018-05-23T14:44:12Z
dc.date.issued 1983
dc.identifier.citation Hetzel, Bill; Calingaert, Peter (1983Detecting Errors in Computer Programs. Quaestiones Informaticae Vol 2 No 2 1983 en
dc.identifier.issn 0254-2757
dc.identifier.uri http://hdl.handle.net/10500/24043
dc.description.abstract A controlled experiment was designed and conducted to compare three methods for detecting errors in computer programs: disciplined, structured reading; specification or black-box testing; and a refined form of typical selective testing. Reading was found to be significantly inferior in effectiveness to the other two methods. Specification and selective testing did not differ significantly from each other. On the average, subjects found little more than half the errors present, even on a severity-weighted basis. Good performance in detecting errors was found to be closely associated with the experimental subjects' computing education, computing background, and self-confidence in performing the experimental tasks. Little association was found with the amount of time spent in detection. The distribution of time to detect the next error was observed to be approximately uniform. en
dc.language.iso en en
dc.publisher Computer Society of South Africa (on behalf of SAICSIT) en
dc.title Detecting Errors in Computer Programs en
dc.type Article en
dc.description.department School of Computing en


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