期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 103, 期 -, 页码 11-21出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2012.03.003
关键词
Software reliability; Failure times; Bayes factor; Model selection
资金
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [0915156] Funding Source: National Science Foundation
In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to the software during the development phase. Since the introduction of bugs is an unobservable process, latent variables are introduced to incorporate this property via a hidden Markov model. We develop a Bayesian analysis of the model and discuss its extensions. We also consider how to infer the unknown number of states of the hidden Markov model. The model and the Bayesian analysis are implemented to actual software failure data. (c) 2012 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据