A New Homogeneous Pure Birth Process based Software Reliability Model [Extended Abstract]

被引:2
|
作者
Ruben Barraza, Nestor [1 ,2 ]
机构
[1] Univ Nacl Tres de Febrero, Caseros, Argentina
[2] Univ Buenos Aires, Sch Engn, Buenos Aires, DF, Argentina
来源
2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C) | 2016年
关键词
Software Reliability; Pure Birth processes; empirical Bayes;
D O I
10.1145/2889160.2892645
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A new Software Reliability model based on a pure birth process is proposed. In our novel approach, the birth (failure) rate of the process is considered to be non dependent on time but dependent non linearly on the previous number of births (failures), contrarily to non homogeneous pure birth processes, as it is usually done in the literature. We use the empirical Bayes framework in order to get the birth (failure) rate. Our approach allows either to estimate the mean time to failure MTTF or to simulate the stochastic failure process. We analyze both, the discrete and continuous time case and apply the first to a real case.
引用
收藏
页码:710 / 712
页数:3
相关论文
共 50 条