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dc.contributor.authorWilson, D. N.
dc.contributor.authorHall, Tracy
dc.contributor.authorBaddoo, N.
dc.date.accessioned2013-05-09T07:30:00Z
dc.date.available2013-05-09T07:30:00Z
dc.date.issued2001-11-15
dc.identifier.citationWilson , D N , Hall , T & Baddoo , N 2001 , ' A framework for evaluation and prediction of software process improvement success ' , Journal of Systems and Software , vol. 59 , no. 2 , pp. 135-142 . https://doi.org/10.1016/S0164-1212(01)00057-7
dc.identifier.issn0164-1212
dc.identifier.otherPURE: 670608
dc.identifier.otherPURE UUID: 9d0997dc-ea3b-4db6-9d44-3fde1250424e
dc.identifier.otherWOS: 000173236000003
dc.identifier.otherScopus: 0035889343
dc.identifier.urihttp://hdl.handle.net/2299/10659
dc.description.abstractThe literature shows that software process improvement (SPI) is a current popular approach to software quality and that many companies are undertaking formal or informal SPI programs. However, the anticipated improvements to software quality through SPI have not, as yet, been fully realised. Many companies are neither ready nor equipped to implement a successful SPI program: how do companies evaluate and validate the necessary organisational requirements for the establishment of a successful SPI program? This paper examines the outcomes of a UK study of a sample of SPI programs and compares these programs with an evaluation framework we have developed. The validated framework will help companies conduct a self-assessment of their readiness to undertake SPI. (C) 2001 Elsevier Science Inc. All rights reserved.en
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofJournal of Systems and Software
dc.titleA framework for evaluation and prediction of software process improvement successen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1016/S0164-1212(01)00057-7
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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