Title :
A new method for estimation of software system reliability in neural networks
Author_Institution :
South China Univ. of Technol., Guangzhou
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;
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
DOI :
10.1109/EIT.2007.4374450
