文章基本信息

标题：A Review of Fault Detection Techniques to Detect Faults and Improve the Reliability in Web Applications
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作者：Mr. Karambir ; Jyoti Tamak
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Software reliability is a big anxiety in industry. Every software shows some minor bugs after being released. Detection and diagnosis of faults in a large-scale distrib uted system is a difficult task. Interest in monitoring and using traces of user requests for fault detection has been on the rise recently. Software reliability is d efined as the probability of failure-free software operation for a specified period of time in a specified environment. In the past, many software reliability growth models (SRGM) have been proposed to estimate the reliability of software. In practice, effective debugging is difficult because the fault may not be immediately detected. Software developers need time to read and analyze the collected failure data. The time delayed by the fault detection & correction processes should not be ignored. Research in the field of software reliability has been extensive and various techniques have been developed for locating bugs. Different techniques are used together to provide good results for problems. Software reliability in web based application is more complex rather than other software systems. The customers of web application want more reliability during the use of application. So the reliability of the web based applications is considered as a special case over different kinds of network. This paper discussed the relevant aspect of reliability issues and some best practices of growth model when think ing in terms of web software reliability
关键词：Fault detection; non-homogeneous Poisson process (NHPP); software reliability growth model (SRGM); ;software testing.