考虑用户行为和排错延迟的软件运行可靠性增长模型

传统的软件可靠性模型大多都假设软件测试环境和运行环境相同,也就是使用软件测试阶段的失效数据来预测软件运行可靠性。众所周知,软件固有故障的排除能提高系统可靠性,然而另一种现象就是随着用户对软件熟悉程度的提高,软件的失效率也会降低。文中研究了软件固有故障检测过程、固有故障纠正过程和外在失效过程的特征,建立了考虑用户行为和排错延迟下的软件运行可靠性增长模型。通过一组来自于开源软件用户缺陷跟踪系统中的真实数据进行数值分析,实验结果表明提出的模型具有较好的效果。

Software Operational Reliability Growth Model Considering End-user Behavior and Fault-correction Time Delay

Most of traditional software reliability models assume that the testing environment and the opera-ting environment are the same,that is,the software reliability model using failure data during the testing phase can predict the ope-rational reliability.It is well known that correcting bugs will improve software reliability,while another phenomenon occurs:the failure rate has decreased as the users are more familiar with the system.In this paper,the inherent fault-detection process (IFDP),inherent fault-correction process (IFCP) and external fault-detection process (EFDP) were discussed.Moreover,a software operational reliability growth model considering end-user behavior and fault-correction time delay was proposed.By using the real data from end-users bug tracking data for open source software,the numerical results show that the proposed model is useful and powerful.