Paper Abstract and Keywords |
Presentation |
2008-05-29 15:15
Identifying Fault-Prone Tokens in Source Code Modules with Spam-Filtering Technique Ryosuke Morii, Osamu Mizuno, Tohru Kikuno (Osaka Univ.) SS2008-4 KBSE2008-4 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Prediction of fault-prone(FP) software modules has been one of the important area of software testing and many approaches has been conducted.Most of them use software metrics for predection, however there is difficulties in collecting the metrics.We introduced a new approach, named "Fault-Prone Filtering".In this approach, FP modules are detected in a way that the source code modules are regarded as text files and they are classified by text mining technique based on Bayesian theory, so there is no need to collect the metrics.
But there was an implementing shortage of this approach at this time.When we classified modules into FP or NFP(not-fault-prone), we could get the result of classification only.There was no information available on FP tokens in each module, and such information is important to conduct debug activities.
In this paper, we tried to develop a tool that classifies not only modules into FP or NFP but also tokens in them.And we experimented using open source project to check how accurately this tool classified tokens. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Fault-prone Module / text mining / Bayesian theory / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 64, SS2008-4, pp. 19-24, May 2008. |
Paper # |
SS2008-4 |
Date of Issue |
2008-05-22 (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) |
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SS2008-4 KBSE2008-4 |
Conference Information |
Committee |
KBSE SS |
Conference Date |
2008-05-29 - 2008-05-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Miyazaki Citizens' Plaza |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
general |
Paper Information |
Registration To |
SS |
Conference Code |
2008-05-KBSE-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Identifying Fault-Prone Tokens in Source Code Modules with Spam-Filtering Technique |
Sub Title (in English) |
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Fault-prone Module |
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text mining |
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Bayesian theory |
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1st Author's Name |
Ryosuke Morii |
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 |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-05-29 15:15:00 |
Presentation Time |
30 minutes |
Registration for |
SS |
Paper # |
SS2008-4, KBSE2008-4 |
Volume (vol) |
vol.108 |
Number (no) |
no.64(SS), no.65(KBSE) |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2008-05-22 (SS, KBSE) |
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