DocumentCode
1970390
Title
A new method for estimation of software system reliability in neural networks
Author
Mei, Denghua
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2007
fDate
17-20 May 2007
Firstpage
188
Lastpage
191
Abstract
There are lots of papers to model the software system reliability based on stochastic processes. But it is not the best fit with statistical methods for the estimation software reliability. The paper gives a new method to perform the estimation for software reliability. The neural networks have been described. And four data sets from large software system development are analyzed with the model of neural networks.
Keywords
neural nets; software reliability; stochastic processes; estimation software reliability; neural networks; software system reliability; statistical methods; stochastic processes; Computer network reliability; Computer science; Decoding; Feedforward neural networks; Neural networks; Reliability engineering; Software reliability; Software systems; Statistical analysis; Stochastic processes; Neural networks; fault; parameters; software reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Electro/Information Technology, 2007 IEEE International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-0941-9
Electronic_ISBN
978-1-4244-0941-9
Type
conf
DOI
10.1109/EIT.2007.4374450
Filename
4374450
Link To Document