DocumentCode :
2166706
Title :
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
Link To Document :
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