Paper Abstract and Keywords |
Presentation |
2021-05-22 10:30
Feature Selection for Avoiding Overfitting of Software Defect Prediction Yuta Nagai, Ryuichi Takahashi (Ibaraki Univ.) KBSE2021-7 SWIM2021-7 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Software defect prediction by machine learning is important for software development, and there is much research on how to make a classifier learn the features generated from DBN. In software defect prediction, if there is a difference in specifications between the training data and test data of the neural network, the neural network may learn the unique specifications of the training data, which may reduce the defect prediction performance.In this paper, by Greedy backward feature selection, version-specific features and domain-specific features of training data were deleted from the features generated by DBN, and the performance of defect prediction was improved. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Defect Prediction / DBN / Feature Selection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 35, KBSE2021-7, pp. 37-43, May 2021. |
Paper # |
KBSE2021-7 |
Date of Issue |
2021-05-14 (KBSE, SWIM) |
ISSN |
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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KBSE2021-7 SWIM2021-7 |
Conference Information |
Committee |
KBSE SWIM |
Conference Date |
2021-05-21 - 2021-05-22 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Paper Information |
Registration To |
KBSE |
Conference Code |
2021-05-KBSE-SWIM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Feature Selection for Avoiding Overfitting of Software Defect Prediction |
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Defect Prediction |
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DBN |
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Feature Selection |
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1st Author's Name |
Yuta Nagai |
1st Author's Affiliation |
Ibaraki University (Ibaraki Univ.) |
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Ryuichi Takahashi |
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Ibaraki University (Ibaraki Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-05-22 10:30:00 |
Presentation Time |
30 minutes |
Registration for |
KBSE |
Paper # |
KBSE2021-7, SWIM2021-7 |
Volume (vol) |
vol.121 |
Number (no) |
no.35(KBSE), no.36(SWIM) |
Page |
pp.37-43 |
#Pages |
7 |
Date of Issue |
2021-05-14 (KBSE, SWIM) |
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