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dc.contributor.authorMacDonell, Stephen Gerard
dc.date.accessioned2012-05-17T17:41:08Z
dc.date.available2012-05-17T17:41:08Z
dc.date.copyright1991-10
dc.date.issued2012-05-18
dc.identifier.citationJournal of Systems and Software, vol.16(2), pp.141 - 149
dc.identifier.issn0164-1212
dc.identifier.urihttp://hdl.handle.net/10292/4200
dc.description.abstractThe lack of widespread industry acceptance of much of the research into the measurement of software complexity must be due at least in part to the lack of experimental rigor associated with many of the studies. This article examines 13 areas in which previous empirical problems have arisen, citing examples where appropriate, and provides recommendations regarding more adequate procedures.
dc.publisherElsevier
dc.relation.urihttp://dx.doi.org/10.1016/0164-1212(91)90008-T
dc.rightsCopyright © 2003 Elsevier Ltd. All rights reserved. This is the author’s version of a work that was accepted for publication in (see Citation). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version)
dc.subjectProgram repair maintenance
dc.subjectMetrics
dc.subjectScience
dc.subjectValidation
dc.subjectHalstead
dc.titleRigor in software complexity measurement experimentation
dc.typeJournal Article
dc.rights.accessrightsOpenAccess
dark.contributor.authorMacDonell, S
aut.relation.endpage149
aut.relation.issue2
aut.relation.startpage141
aut.relation.volume16


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