A decision model for software maintenance

被引:19
|
作者
Krishnan, MS
Mukhopadhyay, T
Kriebel, CH
机构
[1] Univ Michigan, Stephen M Ross Sch Business, Ann Arbor, MI 48109 USA
[2] Carnegie Mellon Univ, Tepper Sch Business, Pittsburgh, PA 15213 USA
关键词
software maintenance; system replacement; stochastic model; legacy systems;
D O I
10.1287/isre.1040.0037
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
收藏
页码:396 / 412
页数:17
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