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Paper Abstract and Keywords
Presentation 2014-07-11 09:00
Supporting Prefactoring Using Feature Location Results
Takuya Komatsuda, Shinpei Hayashi, Motoshi Saeki (Tokyo Inst. of Tech.) SS2014-20 KBSE2014-23
Abstract (in Japanese) (See Japanese page) 
(in English) In order to find the opportunities for applying refactoring, several techniques for detecting bad smells in source code have been proposed. However, existing smell detectors are not suitable for developers who are trying to implement a specific feature because the detectors detect too many smells from the whole source code. In this paper, we propose a technique to detect bad smells specific to the focused feature for supporting prefactoring to improve the extendibility of the program before implementing the feature. In order to estimate the effect of the feature introduction before implementing it, dummy code imitating the deterioration of the design quality is inserted to the modules obtained using the result of a feature location technique. Comparing the detected smells in source code before and after inserting dummy code, we can specify which smells are strongly related to the target feature. Several preliminary evaluations indicated the effectiveness of our technique.
Keyword (in Japanese) (See Japanese page) 
(in English) refactoring / feature location / bad smells in source code / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 127, SS2014-20, pp. 109-114, July 2014.
Paper # SS2014-20 
Date of Issue 2014-07-02 (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 SS2014-20 KBSE2014-23

Conference Information
Committee KBSE SS IPSJ-SE  
Conference Date 2014-07-09 - 2014-07-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Furano-Bunka-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2014-07-KBSE-SS-SE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Supporting Prefactoring Using Feature Location Results 
Sub Title (in English)  
Keyword(1) refactoring  
Keyword(2) feature location  
Keyword(3) bad smells in source code  
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1st Author's Name Takuya Komatsuda  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Shinpei Hayashi  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Motoshi Saeki  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-2 
Date Time 2014-07-11 09:00:00 
Presentation Time 30 minutes 
Registration for SS 
Paper # SS2014-20, KBSE2014-23 
Volume (vol) vol.114 
Number (no) no.127(SS), no.128(KBSE) 
Page pp.109-114 
#Pages 6 
Date of Issue 2014-07-02 (SS, KBSE) 

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