A Decision Model for Software Maintenance

M. S. Krishnan (), Tridas Mukhopadhyay () and Charles H. Kriebel ()
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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

Information Systems Research, 2004, vol. 15, issue 4, 396-412

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.

Keywords: software maintenance; system replacement; stochastic model; legacy systems (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:15:y:2004:i:4:p:396-412

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