A study of software reliability models choice based on bidirectional learning fuzzy neural network

Author

Chao, Bing ; Xu, RenZuo ; Gu, MinYan

Author_Institution

State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

272

Lastpage

275

Abstract

The calculation of software reliability is chiefly dependent on choice of software reliability models (SRMs) and the ways of software reliability computation is not invariable through software life cycle as well. In this paper, a multi-variables two-way learning fuzzy neural network is presented, by which the problem of comparison and choice of SRMs could be solved effectively and the system reliability factors could be decided as early as possible.

Keywords

fuzzy neural nets; learning (artificial intelligence); software reliability; bidirectional learning fuzzy neural network; multivariables two-way learning fuzzy neural network; software life cycle; software reliability models; system reliability factors; Artificial neural networks; Chaos; Computer architecture; Fuzzy control; Fuzzy neural networks; Laboratories; Programming; Software engineering; Software reliability; Testing; Fuzzy neural network; SRMs; reliability factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5373363

Filename

5373363