期刊名称:Journal of Software Engineering and Applications
印刷版ISSN:1945-3116
电子版ISSN:1945-3124
出版年度:2014
卷号:07
期号:07
页码:581-591
DOI:10.4236/jsea.2014.77054
语种:English
出版社:Scientific Research Publishing
摘要:In order to make system reliable, it should inhibit guarantee for basic service, data flow, composition of services, and the complete workflow. In service-oriented architecture (SOA), the entire software system consists of an interacting group of autonomous services. Some soft computing approaches have been developed for estimating the reliability of service oriented systems (SOSs). Still much more research is expected to estimate reliability in a better way. In this paper, we proposed SoS reliability based on an adaptive neuro fuzzy inference system (ANFIS) approach. We estimated the reliability based on some defined parameter. Moreover, we compared its performance with a plain FIS (fuzzy inference system) for similar data sets and found the proposed approach gives better reliability estimation.