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Paper Abstract and Keywords
Presentation 2013-01-29 16:20
Module Classification and Selection for Software Fault Prediction
Makoto Mori, Akito Monden (NAIST), Yasutaka Kamei (Kyushu Univ.), Ken-ichi Matsumoto (NAIST) KBSE2012-68
Abstract (in Japanese) (See Japanese page) 
(in English) To prioritize testing effort, it is important to predict fault-prone modules that are likely to contain a fault.
To build a better fault-prone module prediction model,
This paper proposes two methods (module classification and module selection) to produce a fit dataset (for model building) that has similar aspects to the prediction target dataset so that resultant model may have a good prediction performance when it is applied to the target dataset.
By using Eclipse dataset, we experimentally evaluate the proposed methods.
Keyword (in Japanese) (See Japanese page) 
(in English) fault prediction / quality assurance / resource allocation / datamining / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 419, KBSE2012-68, pp. 59-64, Jan. 2013.
Paper # KBSE2012-68 
Date of Issue 2013-01-21 (KBSE) 
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 KBSE2012-68

Conference Information
Committee KBSE  
Conference Date 2013-01-28 - 2013-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General session 
Paper Information
Registration To KBSE 
Conference Code 2013-01-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Module Classification and Selection for Software Fault Prediction 
Sub Title (in English)  
Keyword(1) fault prediction  
Keyword(2) quality assurance  
Keyword(3) resource allocation  
Keyword(4) datamining  
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1st Author's Name Makoto Mori  
1st Author's Affiliation NAra Institute of Science and Technology (NAIST)
2nd Author's Name Akito Monden  
2nd Author's Affiliation NAra Institute of Science and Technology (NAIST)
3rd Author's Name Yasutaka Kamei  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Ken-ichi Matsumoto  
4th Author's Affiliation NAra Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2013-01-29 16:20:00 
Presentation Time 45 minutes 
Registration for KBSE 
Paper # KBSE2012-68 
Volume (vol) vol.112 
Number (no) no.419 
Page pp.59-64 
#Pages 6 
Date of Issue 2013-01-21 (KBSE) 

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