Paper Abstract and Keywords |
Presentation |
2022-03-07 16:45
Performance Evaluation of Defect Prediction using Trace Logs Issei Morita, Yutaro Kashiwa, Tsukasa Nakamura, Hiroki Yamamoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2021-53 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to detect defects at an early stage of software development, techniques for predicting whether or not a change made to software contains a defect have been widely studied. In the vast majority of cases, static information (i.e., information that does not require program execution) is used to develop change-level defect prediction models. Dynamic information on the other hand (i.e., trace logs) is seldom used. It was hypothesized that trace logs could capture changes in the behavior of software and result in the improved performance of defect prediction models. In this study, we introduced several new types of
metrics using the differences made by trace logs before and after a change, and then built a prediction model based on these. As a result of experiments using an OSS project, we demonstrated that our proposed dynamic metrics partially improve the defect prediction performance compared to using only static metrics. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Defect Prediction / Dynamic Analysis / Trace Logs / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 416, SS2021-53, pp. 66-71, March 2022. |
Paper # |
SS2021-53 |
Date of Issue |
2022-02-28 (SS) |
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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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SS2021-53 |
Conference Information |
Committee |
SS |
Conference Date |
2022-03-07 - 2022-03-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Science etc. |
Paper Information |
Registration To |
SS |
Conference Code |
2022-03-SS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Performance Evaluation of Defect Prediction using Trace Logs |
Sub Title (in English) |
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Keyword(1) |
Defect Prediction |
Keyword(2) |
Dynamic Analysis |
Keyword(3) |
Trace Logs |
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1st Author's Name |
Issei Morita |
1st Author's Affiliation |
Kyushu University (Kyushu Univ.) |
2nd Author's Name |
Yutaro Kashiwa |
2nd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
3rd Author's Name |
Tsukasa Nakamura |
3rd Author's Affiliation |
Kyushu University (Kyushu Univ.) |
4th Author's Name |
Hiroki Yamamoto |
4th Author's Affiliation |
Kyushu University (Kyushu Univ.) |
5th Author's Name |
Masanari Kondo |
5th Author's Affiliation |
Kyushu University (Kyushu Univ.) |
6th Author's Name |
Yasutaka Kamei |
6th Author's Affiliation |
Kyushu University (Kyushu Univ.) |
7th Author's Name |
Naoyasu Ubayashi |
7th Author's Affiliation |
Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-03-07 16:45:00 |
Presentation Time |
25 minutes |
Registration for |
SS |
Paper # |
SS2021-53 |
Volume (vol) |
vol.121 |
Number (no) |
no.416 |
Page |
pp.66-71 |
#Pages |
6 |
Date of Issue |
2022-02-28 (SS) |
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