文章基本信息

标题：Adaptive Mean Value Function Based Quality Assessment of Software Reliable Growth Models
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作者：Chandra Mouli Venkata Srinivas Akana ; C. Divakar ; Ch. Satyanarayana 等
期刊名称：Computer Engineering and Intelligent Systems
印刷版ISSN：2222-1727
电子版ISSN：2222-2863
出版年度：2014
卷号：5
期号：3
页码：43-49
语种：English
出版社：International Institute for Science, Technology Education
摘要：Software growth models aims for reliability of the application over a period of time. Assessment of such models is of great interest since many faults arises with the models during the operation over a span of time. In this paper a adaptive mean value function based testing and estimation of the parameters were discussed. The proposed approach is also compared against the conventional testing approaches and found that the proposed method able to detect the fault under different scenario and proves to give better performance under a constrained environment.
关键词：Software reliability; Growth models; testing analysis; Fault detection and correction.