Title :
The Evaluation of Reliability Based on the Software Architecture in Neural Networks
Author :
Harirforoush, Maryam ; Seyyedi, MirAli ; Mirzaee, Nooraldeen
Author_Institution :
Islamic Azad Univ., Tehran
Abstract :
Software reliability is one of the key quality attributes. To avoid reworks after developing software, mentioned attribute of software must be evaluated correctly. Therefore, estimation and prediction of reliability during system development are very important. In this article a method to predict the failure probability in whole system by the neural networks has been presented. The model of this neural network varies based on the architectural style of software. An evaluation model has been implemented for one architectural style of software as a case study.
Keywords :
neural nets; software architecture; software reliability; neural networks; reliability evaluation; software architecture; software reliability; Computer architecture; Computer networks; Cost benefit analysis; Fault tolerance; Neural networks; Random variables; Reliability theory; Software architecture; Software engineering; Software reliability; evaluation model; neural networks; software architecture; software architecture styles; software reliability;
Conference_Titel :
Software Engineering Advances, 2008. ICSEA '08. The Third International Conference on
Conference_Location :
Sliema
Print_ISBN :
978-1-4244-3218-9
Electronic_ISBN :
978-0-7695-3372-8
DOI :
10.1109/ICSEA.2008.56
