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An Empirical Analysis of Productivity and Quality in Software Products

  • M. S. Krishnan

    (University of Michigan Business School, Ann Arbor, Michigan 48109)

  • C. H. Kriebel

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Sunder Kekre

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Tridas Mukhopadhyay

    (Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Registered author(s):

    We examine the relationship between life-cycle productivity and conformance quality in software products. The effects of product size, personnel capability, software process, usage of tools, and higher front-end investments on productivity and conformance quality were analyzed to derive managerial implications based on primary data collected on commercial software projects from a leading vendor. Our key findings are as follows. First, our results provide evidence for significant increases in life-cycle productivity from improved conformance quality in software products shipped to the customers. Given that the expenditure on computer software has been growing over the last few decades, empirical evidence for cost savings through quality improvement is a significant contribution to the literature. Second, our study identifies several quality drivers in software products. Our findings indicate that higher personnel capability, deployment of resources in initial stages of product development (especially design) and improvements in software development process factors are associated with higher quality products.

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    File URL: http://dx.doi.org/10.1287/mnsc.46.6.745.11941
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    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 46 (2000)
    Issue (Month): 6 (June)
    Pages: 745-759

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    Handle: RePEc:inm:ormnsc:v:46:y:2000:i:6:p:745-759
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