 Entropy-based discretisation for performance prediction of employee: strategy for improving software qualitySangita Gupta, Uma Mohan Mokashi and V. Suma International Journal of Productivity and Quality Management, 2017, vol. 21, issue 4, 411-428 Abstract: Software engineering focuses upon generation of high quality product through well defined process. Quality can be perceived by two major dimensions namely through process quality and through people quality. Since people drive the process, the quality of software development process is controlled by the quality level of the people. Consequently, it is vital to carry the software development activities with team possessing good skills set. Personnel attributes provide the largest scope for improving software development and enhancing the quality. A fundamental issue is however to assess human performance. An in-depth analysis using data mining techniques is carried out in several software industries and the results thus obtained enable one to gain an insight about the quality of personnel information. These approach further aids to identify the most capable project personnel who can drive the quality of the software being developed. Keywords: human aspect of software engineering; data mining; classification; entropy-based discretisation; software quality; software development process. (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:21:y:2017:i:4:p:411-428 Access Statistics for this article More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd |
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