Author List: Krishnan, M. S.; Mukhopadhyay, Tridas; Kriebel, Charles H.;
Information Systems Research, 2004, Volume 15, Issue 4, Page 396-412.
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: legacy systems; software maintenance; stochastic model; system replacement
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#191 0.286 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#151 0.175 costs cost switching reduce transaction increase benefits time economic production transactions savings reduction impact services reduced affect expected optimal associated
#232 0.158 software development product functionality period upgrade sampling examines extent suggests factors considered useful uncertainty previous called complementarities greater cost present
#79 0.073 public government private sector state policy political citizens governments contributors agencies issues forums mass development organizations issue differences economic study
#26 0.069 business large organizations using work changing rapidly make today's available designed need increasingly recent manage years activity important allow achieve
#261 0.052 software development maintenance case productivity application tools systems function tool engineering projects effort code developed applications analysis estimation methodology methods