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Paper Abstract and Keywords
Presentation 2013-07-25 17:10
An Iterative Approach for Improving Feature Location and Identification
Hiroshi Kazato (NTT DATA INTELLILINK CORPORATION), Shinpei Hayashi, Takashi Kobayashi (Tokyo Inst. of Tech.), Tsuyoshi Oshima, Shunsuke Miyata, Katsuyuki Natsukawa, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Inst. of Tech.) SS2013-22 KBSE2013-22
Abstract (in Japanese) (See Japanese page) 
(in English) Feature location (FL) is an activity of developers which identifies correspondence between software features and program elements in source code. Existing FL techniques assumes that developers adequately recognize features to be located and thus are not fully effective when their recognition is ambiguous. This paper proposes an iterative technique for refining both location and definition of features. Using a result of FL, the technique helps developers to update their recognition of features and improve the input of FL in the next iteration. An application example indicates the effectiveness of the approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Feature Location / Feature Identification / Formal Concept Analysis / Dynamic Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 159, SS2013-22, pp. 55-60, July 2013.
Paper # SS2013-22 
Date of Issue 2013-07-18 (SS, 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 SS2013-22 KBSE2013-22

Conference Information
Committee SS KBSE  
Conference Date 2013-07-25 - 2013-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Genaral session 
Paper Information
Registration To SS 
Conference Code 2013-07-SS-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Iterative Approach for Improving Feature Location and Identification 
Sub Title (in English)  
Keyword(1) Feature Location  
Keyword(2) Feature Identification  
Keyword(3) Formal Concept Analysis  
Keyword(4) Dynamic Analysis  
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1st Author's Name Hiroshi Kazato  
1st Author's Affiliation NTT DATA INTELLILINK CORPORATION (NTT DATA INTELLILINK CORPORATION)
2nd Author's Name Shinpei Hayashi  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Takashi Kobayashi  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
4th Author's Name Tsuyoshi Oshima  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Shunsuke Miyata  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Katsuyuki Natsukawa  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
7th Author's Name Takashi Hoshino  
7th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
8th Author's Name Motoshi Saeki  
8th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker
Date Time 2013-07-25 17:10:00 
Presentation Time 30 
Registration for SS 
Paper # IEICE-SS2013-22,IEICE-KBSE2013-22 
Volume (vol) IEICE-113 
Number (no) no.159(SS), no.160(KBSE) 
Page pp.55-60 
#Pages IEICE-6 
Date of Issue IEICE-SS-2013-07-18,IEICE-KBSE-2013-07-18 


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