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Software Development Practices, Software Complexity, and Software Maintenance Performance: A Field Study

Author

Listed:
  • Rajiv D. Banker

    (School of Management, University of Texas at Dallas, Richardson, Texas 75083)

  • Gordon B. Davis

    (Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Sandra A. Slaughter

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

Abstract

Software maintenance claims a large proportion of organizational resources. It is thought that many maintenance problems derive from inadequate software design and development practices. Poor design choices can result in complex software that is costly to support and difficult to change. However, it is difficult to assess the actual maintenance performance effects of software development practices because their impact is realized over the software life cycle. To estimate the impact of development activities in a more practical time frame, this research develops a two-stage model in which software complexity is a key intermediate variable that links design and development decisions to their downstream effects on software maintenance. The research analyzes data collected from a national mass merchandising retailer on 29 software enhancement projects and 23 software applications in a large IBM COBOL environment. Results indicate that the use of a code generator in development is associated with increased software complexity and software enhancement project effort. The use of packaged software is associated with decreased software complexity and software enhancement effort. These results suggest an important link between software development practices and maintenance performance.

Suggested Citation

  • Rajiv D. Banker & Gordon B. Davis & Sandra A. Slaughter, 1998. "Software Development Practices, Software Complexity, and Software Maintenance Performance: A Field Study," Management Science, INFORMS, vol. 44(4), pages 433-450, April.
    • Handle: RePEc:inm:ormnsc:v:44:y:1998:i:4:p:433-450
    DOI: 10.1287/mnsc.44.4.433
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    References listed on IDEAS

    as
    1. Gus W. Grammas & June R. Klein, 1985. "Software Productivity as a Strategic Variable," Interfaces, INFORMS, vol. 15(3), pages 116-126, June.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Rajiv D. Banker & Chris F. Kemerer, 1992. "Performance Evaluation Metrics for Information Systems Development: A Principal-Agent Model," Information Systems Research, INFORMS, vol. 3(4), pages 379-400, December.
    4. Rajiv D. Banker & Srikant M. Datar & Chris F. Kemerer, 1991. "A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects," Management Science, INFORMS, vol. 37(1), pages 1-18, January.
    5. Charles H. Kriebei & Artur Raviv, 1980. "An Economics Approach to Modeling the Productivity of Computer Systems," Management Science, INFORMS, vol. 26(3), pages 297-311, March.
    6. Wood, Robert E., 1986. "Task complexity: Definition of the construct," Organizational Behavior and Human Decision Processes, Elsevier, vol. 37(1), pages 60-82, February.
    7. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
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