摘要
结合Web软件运行的实际情况,提出一种基于BurrX测试工作量函数(TEF)的非齐次泊松过程类软件可靠性增长模型(SRGM),并将其应用到Web软件可靠性分析中。TEF能直接体现Web软件工作量与日历时间之间的关系,解决Web软件因工作量高度不均衡导致的问题。实验结果表明,与G-O模型相比,SRGM具有较好的Web软件可靠性评估效果,能较准确地描述Web软件运行的失效过程。
This paper proposes a Web Software Reliability Growth ModeI(SRGM) with BurrX Testing Effort Function(TEF) based on Non-homogeneous Poisson Process(NHPP) and develops its application to Web software reliability analysis. The incorporated TEF depicts the relationship between Web workload and calendar time, and solves the problem about high uneven of Web workload. By using the workload data and failure data from Web logs. Experimental results show that the proposed moddl can be used to describe the actual failure process more faithfully than G-O model, which is often used to analyze Web software.
出处
《计算机工程》
CAS
CSCD
2012年第14期26-28,共3页
Computer Engineering
基金
全国统计科研基金资助项目(2009LZ009)
贵州省自然科学基金资助项目(黔科合J字[2009]2128号)
关键词
WEB软件
测试工作量函数
非齐次泊松过程
软件可靠性增长模型
Web工作量
失效过程
Web software
Testing Effort Function(TEF)
Non-homogeneous Poisson Process(NHPP)
Software Reliability Growth Model (SRGM)
Web workload
failure process