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| Presentation | 2010-03-08 15:20 Empirical Evaluation of Bug Density Prediction Model to Low Granularity Modules Yasutaka Kamei, Shinsuke Matsumoto, Akito Monden, Ken-ichi Matsumoto (NAIST)  SS2009-72 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | To clarify the effects of bug module prediction on integration test,this paper experimentally evaluates the performance of bug density prediction models for low granularity modules.In the experiment, we evaluated the prediction performance of four models (regression model, analogy-based model, regression tree, random forest)applied to low granularity modules (i.e. package) by using module set collected from Eclipse Platform that has been developed by Eclipse project.We compared it with the prediction performance on high granularity modules (i.e. source code file).As a result, in both low and high granularity modules, random forest showed the best prediction performance among the four models.Also, the result showed that when we allocated test effort to low and high granularity modules based on the estimated bug density of model, 80 percent of bugs could be detected by testing 40 and 20 percent of SLoC for each granularity. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Low Granularity Modules / Faulty Module Prediction / Integration Test / Bug Density / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 456, SS2009-72, pp. 145-150, March 2010. | |
| Paper # | SS2009-72 | |
| Date of Issue | 2010-03-01 (SS) | |
| 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 | SS2009-72 |
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| Conference Information | |
| Committee | SS |
| Conference Date | 2010-03-08 - 2010-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | general |
| Paper Information | |
| Registration To | SS |
| Conference Code | 2010-03-SS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Empirical Evaluation of Bug Density Prediction Model to Low Granularity Modules |
| Sub Title (in English) | |
| Keyword(1) | Low Granularity Modules |
| Keyword(2) | Faulty Module Prediction |
| Keyword(3) | Integration Test |
| Keyword(4) | Bug Density |
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| Keyword(8) | |
| 1st Author's Name | Yasutaka Kamei |
| 1st Author's Affiliation | ara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Shinsuke Matsumoto |
| 2nd Author's Affiliation | ara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Akito Monden |
| 3rd Author's Affiliation | ara Institute of Science and Technology (NAIST) |
| 4th Author's Name | Ken-ichi Matsumoto |
| 4th Author's Affiliation | ara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2010-03-08 15:20:00 |
| Presentation Time | 30 minutes |
| Registration for | SS |
| Paper # | SS2009-72 |
| Volume (vol) | vol.109 |
| Number (no) | no.456 |
| Page | pp.145-150 |
| #Pages | 6 |
| Date of Issue | 2010-03-01 (SS) |
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