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Paper Abstract and Keywords
Presentation 2009-11-27 11:15
Finding Change impacts on Embeded Software using Machine Learning
Kenichiro Hara, Akira Osada, Haruhiko Kaiya, Kenji Kaijiri (Shinshu Univ.) KBSE2009-41
Abstract (in Japanese) (See Japanese page) 
(in English) This paper reports the result of applying information retrieval technology to impact analysis of the embedded software and the result improved by expansion using machine learning. Information retrieval performs support to associate a document with a source code by using keywords and the appearance frequency. We used a keyword appearance pattern for machine learning, and such machine learning technique could improve precision of this impact analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Case Study / Keyword Retrieval / Change Impact Analysis / Traceability / Machine Learning / Decision Tree / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 307, KBSE2009-41, pp. 61-66, Nov. 2009.
Paper # KBSE2009-41 
Date of Issue 2009-11-19 (KBSE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 KBSE2009-41

Conference Information
Committee KBSE  
Conference Date 2009-11-26 - 2009-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Shimane Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Knowledge Based Software Engineering, etc. 
Paper Information
Registration To KBSE 
Conference Code 2009-11-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Finding Change impacts on Embeded Software using Machine Learning 
Sub Title (in English)  
Keyword(1) Case Study  
Keyword(2) Keyword Retrieval  
Keyword(3) Change Impact Analysis  
Keyword(4) Traceability  
Keyword(5) Machine Learning  
Keyword(6) Decision Tree  
1st Author's Name Kenichiro Hara  
1st Author's Affiliation Shinshu University. (Shinshu Univ.)
2nd Author's Name Akira Osada  
2nd Author's Affiliation Shinshu University. (Shinshu Univ.)
3rd Author's Name Haruhiko Kaiya  
3rd Author's Affiliation Shinshu University. (Shinshu Univ.)
4th Author's Name Kenji Kaijiri  
4th Author's Affiliation Shinshu University. (Shinshu Univ.)
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Date Time 2009-11-27 11:15:00 
Presentation Time 35 
Registration for KBSE 
Paper # IEICE-KBSE2009-41 
Volume (vol) IEICE-109 
Number (no) no.307 
Page pp.61-66 
#Pages IEICE-6 
Date of Issue IEICE-KBSE-2009-11-19 

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