A decision model for software maintenance

• 成果类型: Article
• 署名作者: Krishnan, MS; Mukhopadhyay, T; Kriebel, CH
• 署名单位: University of Michigan System; University of Michigan; Carnegie Mellon University
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.1040.0037
• 发表日期: 2004
• 页码: 396-412
• 关键词: markovian deterioration

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.