An improved reliability prediction model based on BP network

Author

Wu, Hong-Li ; Zhong, Yong ; Jiang, Yong-Hui

Author_Institution

Coll. of Inf. Sci. & Technol., Hainan Normal Univ., Haikou, China

Volume

5

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

822

Lastpage

826

Abstract

Software reliability is a very important and active research field in software engineering. There have been one hundred of prediction model since the first prediction model published. Halstead model needn´t test data and can be used before software test. But the model lost sight of many factors affecting software reliability. We aimed to improve prediction precision of Halstead model. So we improved the model which considered over software process factors affecting reliability and make use of BP network to calculate the weight.

Keywords

backpropagation; program testing; software reliability; BP network; Halstead model; prediction precision; reliability prediction model; software engineering; software process factor; software reliability; software test; Computer applications; Computer network reliability; Educational institutions; Electronic mail; Information science; Neural networks; Predictive models; Samarium; Software reliability; Software testing; BP neural network; software reliability prediction model; software relibility;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451879

Filename

5451879