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dc.contributor.authorZhang, Min
dc.contributor.authorBaddoo, N.
dc.contributor.editorAbrahamsson, P.
dc.contributor.editorBaddoo, N.
dc.contributor.editorMargaria, T.
dc.contributor.editorMessnarz, R.
dc.date.accessioned2015-02-19T09:18:13Z
dc.date.available2015-02-19T09:18:13Z
dc.date.issued2007
dc.identifier.citationZhang , M & Baddoo , N 2007 , Performance comparison of software complexity metrics in an open source project . in P Abrahamsson , N Baddoo , T Margaria & R Messnarz (eds) , Software Process Improvement . Lecture Notes in Computer Science , vol. 4764 , Springer , pp. 160-174 , 14th European Conference on Software Process Improvement , Potsdam , Germany , 26/09/07 .
dc.identifier.citationconference
dc.identifier.isbn978-3-540-74765-9
dc.identifier.otherPURE: 670192
dc.identifier.otherPURE UUID: 1e976fdd-7a34-4caf-8da3-cfeaaf1a3073
dc.identifier.otherWOS: 000251390600015
dc.identifier.otherScopus: 38349016981
dc.identifier.urihttp://hdl.handle.net/2299/15401
dc.description.abstractSoftware complexity measures are essential aspects of software engineering. Relatively few studies have been conducted to compare the performance of different complexity metrics. This paper describes an experimental investigation, which compares the performance of three different software complexity metrics; McCabe's cyclomatic complexity, Halstead's complexity measures and Douce's spatial complexity, by using data from an Open Source project Eclipse JDT. The results of this investigation indicate that in different situation these complexity metrics show different performance. However, Halstead's effort measure and Douce's spatial complexity are highly correlated, showing bigger correlation coefficient values. This leads us to suggest that because Halstead's complexity measure is more mature and has better supporting tools, it may be a good idea to replace Douce's spatial complexity metric with Halstead's effort measure in practice.en
dc.format.extent15
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofSoftware Process Improvement
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.subjectSPATIAL COMPLEXITY
dc.titlePerformance comparison of software complexity metrics in an open source projecten
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2007
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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