Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1637
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dc.contributor.authorDe Silva, D. I-
dc.contributor.authorKodagoda, N-
dc.date.accessioned2022-03-15T04:23:56Z-
dc.date.available2022-03-15T04:23:56Z-
dc.date.issued2013-04-26-
dc.identifier.citationD. I. De Silva and N. Kodagoda, "Applicability of Weyuker's properties using three complexity metrics," 2013 8th International Conference on Computer Science & Education, 2013, pp. 685-690, doi: 10.1109/ICCSE.2013.6553996.en_US
dc.identifier.isbn978-1-4673-4463-0-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1637-
dc.description.abstractAlthough a number of complexity metrics have been proposed, only a few studies have been conducted to compare those proposed metrics to find the most effective and comprehensive metric. In general, to find the effectiveness and the comprehensiveness of a metric Weyuker's nine properties are used. However determining whether a complexity metric satisfies some theoretical framework is not enough to determine the effectiveness and comprehensiveness of that particular metric. Thus, this empirical study was conducted to find the effectiveness and comprehensiveness of three complexity metrics - McCabe's cyclomatic complexity, Halstead's software science and Shao and Wangs' cognitive functional size using the help of thirty software programmers with five or more years of working experience and thereby demonstrate the applicability of Weyuker's properties.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2013 8th International Conference on Computer Science & Education;Pages 685-690-
dc.subjectApplicabilityen_US
dc.subjectWeyuker's propertiesen_US
dc.subjectthree complexity metricsen_US
dc.titleApplicability of Weyuker's properties using three complexity metricsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCSE.2013.6553996en_US
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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