Paper Abstract and Keywords |
Presentation |
2020-03-16 11:20
A QCD Consensus-Building Method for Project Management Using Machine Learning on the Meeting Speeches Sato Chisaki, Nakamura Takuto, Aoyama Mikio (Nanzan Univ.) SC2019-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Difference of perception to QCD (Quality, Cost, Delivery) between stakeholders is a major obstacle to the project management of software development. In this article, we define QCD influence as the QCD priority from speeches in the meetings, and propose a method of QCD management support using machine learning on the speeches. The proposed method evaluates QCD priority from extracted QCD influence from speeches by using machine learning, and visualize the QCD influence and QCD priority. The visualization supports to build a QCD consensus by presenting the stakeholders the QCD influence and QCD priority. The proposed method is applied to two projects and demonstrates the validity and effectiveness. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
QCD / Machine Learning / Project Management / Utterance Analysis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 482, SC2019-40, pp. 35-40, March 2020. |
Paper # |
SC2019-40 |
Date of Issue |
2020-03-09 (SC) |
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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SC2019-40 |
Conference Information |
Committee |
SC |
Conference Date |
2020-03-16 - 2020-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Machine Learning Systems Engineering and Service Computing, etc. |
Paper Information |
Registration To |
SC |
Conference Code |
2020-03-SC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A QCD Consensus-Building Method for Project Management Using Machine Learning on the Meeting Speeches |
Sub Title (in English) |
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QCD |
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Machine Learning |
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Project Management |
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Utterance Analysis |
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1st Author's Name |
Sato Chisaki |
1st Author's Affiliation |
Nanzan University (Nanzan Univ.) |
2nd Author's Name |
Nakamura Takuto |
2nd Author's Affiliation |
Nanzan University (Nanzan Univ.) |
3rd Author's Name |
Aoyama Mikio |
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Nanzan University (Nanzan Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-16 11:20:00 |
Presentation Time |
20 minutes |
Registration for |
SC |
Paper # |
SC2019-40 |
Volume (vol) |
vol.119 |
Number (no) |
no.482 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2020-03-09 (SC) |
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