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Paper Abstract and Keywords
Presentation 2010-10-15 10:15
On Deriving Essential Factors for Estimating Successful Projects from Actual Project Data
Junya Debari, Tohru Kikuno (Osaka Univ.), Nahomi Kikuchi (OKI), Masayuki Hirayama (IPA/SEC) SS2010-35
Abstract (in Japanese) (See Japanese page) 
(in English) Actual project data are collected based on many software metrics and generally contain a large amount of missing values.

In this paper we propose a novel method to derive such essential software characteristics that can be used to estimate successful projects from a given project data.

From project data in IPA/SEC, the proposed method has successfully derived six characteristics. Then the experimental evaluation has shown the effectiveness of the obtained characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) Project Prediction / Software Metrics / Association Rule Mining / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 227, SS2010-35, pp. 43-48, Oct. 2010.
Paper # SS2010-35 
Date of Issue 2010-10-07 (SS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SS2010-35

Conference Information
Committee SS  
Conference Date 2010-10-14 - 2010-10-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Iwate Prefectural Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To SS 
Conference Code 2010-10-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Deriving Essential Factors for Estimating Successful Projects from Actual Project Data 
Sub Title (in English)  
Keyword(1) Project Prediction  
Keyword(2) Software Metrics  
Keyword(3) Association Rule Mining  
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1st Author's Name Junya Debari  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Tohru Kikuno  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Nahomi Kikuchi  
3rd Author's Affiliation Oki Electric Industry Co., Ltd. (OKI)
4th Author's Name Masayuki Hirayama  
4th Author's Affiliation Information Promotion Agency Japan/Software Engineering Center (IPA/SEC)
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Speaker Author-1 
Date Time 2010-10-15 10:15:00 
Presentation Time 30 minutes 
Registration for SS 
Paper # SS2010-35 
Volume (vol) vol.110 
Number (no) no.227 
Page pp.43-48 
#Pages
Date of Issue 2010-10-07 (SS) 


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