Please use this identifier to cite or link to this item: https://doi.org/10.1108/09544780310502697
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dc.titleSix Sigma in software quality
dc.contributor.authorHong, G.Y.
dc.contributor.authorGoh, T.N.
dc.date.accessioned2014-06-17T07:02:40Z
dc.date.available2014-06-17T07:02:40Z
dc.date.issued2003
dc.identifier.citationHong, G.Y.,Goh, T.N. (2003). Six Sigma in software quality. TQM Magazine 15 (6) : 364-373. ScholarBank@NUS Repository. <a href="https://doi.org/10.1108/09544780310502697" target="_blank">https://doi.org/10.1108/09544780310502697</a>
dc.identifier.issn0954478X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63318
dc.description.abstractThe success of Six Sigma in manufacturing in the past decade has encouraged moves to explore Six Sigma applications to other domains, such as the software industry, for performance improvement. Owing to the uniqueness of software processes, there have been disagreements as to whether Six Sigma should be adopted in software design processes. In this paper, we discuss the applicability of the Six Sigma framework to software. Some myths and facts about the Six Sigma Software Program (6SSP) are discussed. We also address some common misconceptions on the potential of Six Sigma in software, as well as some actual practical challenges. A framework is suggested for practitioners and managers interested in exploiting the benefits of statistical analysis in general, and 6SSP in particular. Some ideas are also raised on what remains to be done to make 6SSP work.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1108/09544780310502697
dc.sourceScopus
dc.subjectQuality
dc.subjectSoftware tools
dc.subjectStatistical analysis
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1108/09544780310502697
dc.description.sourcetitleTQM Magazine
dc.description.volume15
dc.description.issue6
dc.description.page364-373
dc.description.codenTQMME
dc.identifier.isiutNOT_IN_WOS
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