support vector regression for software reliability growth modeling and     prediction

ISCAS OpenIR

	support vector regression for software reliability growth modeling and prediction
	Xing F; Guo P
	2005
Conference Name	2nd International Symposium on Neural Networks
Source	Lecture Notes in Computer Science
Pages	925-930
Conference Date	MAY 30-JUN
Conference Place	Chongqing, PEOPLES R CHINA
Indexed Type	sci ; istp ; ei
Publish Place	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Publisher	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS
ISSN	0302-9743
ISBN	3-540-25912-0
Department	Beijing Normal Univ, Dept Comp Sci, Beijing 100875, Peoples R China. Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100080, Peoples R China.
English Abstract	In this work, we propose to apply support vector regression (SVR) to build software reliability growth model (SRCM). SRGM is an important aspect in software reliability engineering. Software reliability is the probability that a given software
Keyword	Computer Software Failure Analysis Mathematical Models Probability Regression Analysis Reliability Software Engineering Vectors
Sponsorship	Chongqing Univ, SW Normal Univ, Chongqing Univ, Posts& Telecommun, SW Agr Univ, Chongqing Educ Coll, Chinese Univ Hong Kong, Asia Pacific Neural Network Assembly, European Neural Network Soc, IEEE Circuits & Syst Soc, IEEE Computat Intelligenc
Language	英语
Content Type	会议论文
URI	http://ir.iscas.ac.cn/handle/311060/12754
Collection	中国科学院软件研究所
Recommended Citation GB/T 7714	Xing F,Guo P. support vector regression for software reliability growth modeling and prediction[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS,2005:925-930.

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