By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bing Chao ; State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China ; RenZuo Xu ; MinYan Gu

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.

Published in:

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

Date of Conference:

8-11 Dec. 2009