中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 会议论文
题名:
software quality prediction using affinity propagation algorithm
作者: Yang Bingbing ; Yin Qian ; Xu Shengyong ; Guo Ping
会议文集: Proceedings of the International Joint Conference on Neural Networks
会议名称: 2008 International Joint Conference on Neural Networks, IJCNN 2008
会议日期: 43983
出版日期: 2008
会议地点: Hong Kong, China
关键词: Cluster analysis ; Data mining ; Decision support systems ; Flow of solids ; Forecasting ; Information management ; Life cycle ; Neural networks ; Software testing
出版地: United States
收录类别: ei
ISBN: 9781424418213
部门归属: (1) Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing 100875, China; (2) Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100080
英文摘要: Software metrics are collected at various phases of the software development process. These metrics contain the information of the software and can be used to predict software quality in the early stage of software life cycle. Intelligent computing techni
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/10512
Appears in Collections:软件所图书馆_会议论文

Files in This Item:
File Name/ File Size Content Type Version Access License
04634056.pdf(315KB)----限制开放-- 联系获取全文

Recommended Citation:
Yang Bingbing,Yin Qian,Xu Shengyong,et al. software quality prediction using affinity propagation algorithm[C]. 见:2008 International Joint Conference on Neural Networks, IJCNN 2008. Hong Kong, China. 43983.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Yang Bingbing]'s Articles
[Yin Qian]'s Articles
[Xu Shengyong]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Yang Bingbing]‘s Articles
[Yin Qian]‘s Articles
[Xu Shengyong]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院软件研究所 - Feedback
Powered by CSpace