Paper Abstract and Keywords |
Presentation |
2007-10-23 11:25
A Method for Activity Prediction using Cluster Analysis on Email Thereads Kimiharu Ohkura, Yoji Onishi, Shinji Kawaguchi, Masao Ohira, Hajimu Iida, Ken-ichi Matsumoto (NAIST) SS2007-37 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In open-source software (OSS) development, activity is one of important factors which affect quality of software products. Various development tools’ logs have been used to analyze certain OSS projects because of the lack of development documents in OSS projects. However, it is difficult to analyze OSS projects in common since tools used in software development vary from project to project. In this paper, we focus on mailing lists (MLs) that are used in most OSS projects, and propose a method for activity prediction based on in co-occurrence of developers in MLs. From the result of our experiment, we confirmed that co-occurrence of developers affected the activity in OSS projects. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
OSS / Cluster Analysis / mailing list (ML) / Activity / Project Analysis / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 275, SS2007-37, pp. 41-46, Oct. 2007. |
Paper # |
SS2007-37 |
Date of Issue |
2007-10-15 (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) |
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SS2007-37 |
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