 An empirical study for finding factors that would optimise productivity and quality in IT businessSanjay Mohapatra International Journal of Productivity and Quality Management, 2017, vol. 20, issue 2, 169-196 Abstract: This research identifies parameters that would have combined effect on productivity and quality. There have been several studies on finding factors for productivity. But factors that would affect quality of deliverables and productivity need to be studied as we cannot ignore quality while increasing productivity. For the research, primary data from 136 software projects were analysed and multiple regression as a method with due diligence was applied to analyse the relationships. It was found that level of application complexity, experience in technology, training, level of client support, availability of testing tools and quality of document management system significantly affect productivity while only experience in domain and availability of testing tools significantly affect defect density (quality measure) in software development projects. Keywords: productivity; quality; software engineering; software development projects; statistical modelling; optimisation; multiple regression; application complexity; technology experience; training; client support; testing tools; document management. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:20:y:2017:i:2:p:169-196 Access Statistics for this article More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd |
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