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dc.contributor.authorSharp, H.
dc.contributor.authorBaddoo, N.
dc.contributor.authorBeecham, S.
dc.contributor.authorHall, T.
dc.contributor.authorRobinson, H.
dc.date.accessioned2013-01-14T12:28:58Z
dc.date.available2013-01-14T12:28:58Z
dc.date.issued2009
dc.identifier.citationSharp , H , Baddoo , N , Beecham , S , Hall , T & Robinson , H 2009 , ' Models of motivation in software engineering ' , Information and Software Technology , vol. 51 , no. 1 , pp. 219-233 . https://doi.org/10.1016/j.infsof.2008.05.009
dc.identifier.issn0950-5849
dc.identifier.otherPURE: 85511
dc.identifier.otherPURE UUID: ef8f43a8-c56b-4368-a8be-4e1748a27171
dc.identifier.otherdspace: 2299/5850
dc.identifier.otherScopus: 56649108100
dc.identifier.urihttp://hdl.handle.net/2299/9612
dc.descriptionOriginal article can be found at : http://www.sciencedirect.com/ Copyright Elsevier [Full text of this article is not available in the UHRA]
dc.description.abstractMotivation in software engineering is recognized as a key success factor for software projects, but although there are many papers written about motivation in software engineering, the field lacks a comprehensive overview of the area. In particular, several models of motivation have been proposed, but they either rely heavily on one particular model (the job characteristics model), or are quite disparate and difficult to combine. Using the results from our previous systematic literature review (SLR), we constructed a new model of motivation in software engineering. We then compared this new model with existing models and refined it based on this comparison. This paper summarises the SLR results, presents the important existing models found in the literature and explains the development of our new model of motivation in software engineering.en
dc.language.isoeng
dc.relation.ispartofInformation and Software Technology
dc.subjectmotivation
dc.subjectproject management
dc.subjecthuman factors
dc.subjectsystematic literature review
dc.titleModels of motivation in software engineeringen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.infsof.2008.05.009
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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