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| 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 |
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| 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. |
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| 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 | |
| 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 | KBSE2008-47 |
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| 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 |
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| 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 |
| #Pages | 6 |
| Date of Issue | 2009-01-12 (KBSE) |
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