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Paper Abstract and Keywords
Presentation 2009-01-20 13:15
A Comparative Study of Fault-Prone Module Detection Methods -- Fault-proneness filtering and Logistic regression --
Liu Hua Hao, Osamu Mizuno, Tohru Kikuno (Osaka Univ.) KBSE2008-47
Abstract (in Japanese) (See Japanese page) 
(in English) Prediction of fault-prone software modules has been one of the most
classical and important area of software engineering so far. We
have proposed a novel approach for predicting fault-prone modules
using a spam filtering technique, named Fault-proneness filtering
(FPF). In our approach, fault-prone modules are detected in a way
that the source code modules are considered as text files and are
applied to the spam filter directly. Recently, an another approach
using code churn metrics has been proposed. This method is based on
a logistic regression model and using metrics related to code
churn(the amount of modified code between revisions).

In this paper, we conduct a comparative study of fault-proneness
filtering and code churn based logistic regression model using the
data of an open source software development. Furthermore, we propose
a method to integrate these two methods. The method is also
evaluated by the same data.
Keyword (in Japanese) (See Japanese page) 
(in English) Fault-prone module / text classification / logistic regression / revision history / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 384, KBSE2008-47, pp. 61-66, Jan. 2009.
Paper # KBSE2008-47 
Date of Issue 2009-01-12 (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 KBSE2008-47

Conference Information
Committee KBSE  
Conference Date 2009-01-19 - 2009-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. B3-6 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To KBSE 
Conference Code 2009-01-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Comparative Study of Fault-Prone Module Detection Methods 
Sub Title (in English) Fault-proneness filtering and Logistic regression 
Keyword(1) Fault-prone module  
Keyword(2) text classification  
Keyword(3) logistic regression  
Keyword(4) revision history  
1st Author's Name Liu Hua Hao  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Osamu Mizuno  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Tohru Kikuno  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2009-01-20 13:15:00 
Presentation Time 40 minutes 
Registration for KBSE 
Paper # KBSE2008-47 
Volume (vol) vol.108 
Number (no) no.384 
Page pp.61-66 
Date of Issue 2009-01-12 (KBSE) 

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