An empirical study for finding factors that would optimise productivity and quality in IT business

An empirical study for finding factors that would optimise productivity and quality in IT business

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Article ID: iaor2017263
Volume: 20
Issue: 2
Start Page Number: 169
End Page Number: 196
Publication Date: Jan 2017
Journal: International Journal of Productivity and Quality Management
Authors:
Keywords: computers: information, statistics: empirical, optimization, production
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.

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