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A Decision Model for Software Maintenance

Author

Listed:
  • M. S. Krishnan

    (Stephen M. Ross School of Business, University of Michigan, 701 Tappan Street, Ann Arbor, Michigan 48109-1234)

  • Tridas Mukhopadhyay

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Charles H. Kriebel

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

In this paper we address the problem of increasing software maintenance costs in a custom software development environment, and develop a stochastic decision model for the maintenance of information systems. Based on this modeling framework, we derive an optimal decision rule for software systems maintenance, and present sensitivity analysis of the optimal policy. We illustrate an application of this model to a large telecommunications switching software system, and present sensitivity analysis of the optimal state for major upgrade derived from our model. Our modeling framework also allows for computing the expected time to perform major upgrade to software systems.

Suggested Citation

  • M. S. Krishnan & Tridas Mukhopadhyay & Charles H. Kriebel, 2004. "A Decision Model for Software Maintenance," Information Systems Research, INFORMS, vol. 15(4), pages 396-412, December.
    • Handle: RePEc:inm:orisre:v:15:y:2004:i:4:p:396-412
    DOI: 10.1287/isre.1040.0037
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    References listed on IDEAS

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    Cited by:

    1. He Huang & Minhui Hu & Robert J. Kauffman & Hongyan Xu, 2021. "The Power of Renegotiation and Monitoring in Software Outsourcing: Substitutes or Complements?," Information Systems Research, INFORMS, vol. 32(4), pages 1236-1261, December.

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