Presentation 2020-03-16
A QCD Consensus-Building Method for Project Management Using Machine Learning on the Meeting Speeches
Sato Chisaki, Nakamura Takuto, Aoyama Mikio,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) QCD / Machine Learning / Project Management / Utterance Analysis
Paper # SC2019-40
Date of Issue 2020-03-09 (SC)

Conference Information
Committee SC
Conference Date 2020/3/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Hitachi Central Research Laboratory
Topics (in Japanese) (See Japanese page)
Topics (in English) 【Online Conference】 Machine Learning Systems Engineering and Service Computing, etc.
Chair Masahide Nakamura(Kobe Univ.)
Vice Chair Shinji Kikuchi(NIMS) / Yoji Yamato(NTT)
Secretary Shinji Kikuchi(Tokyo Univ. of Tech.) / Yoji Yamato(Fujitsu Lab.)
Assistant

Paper Information
Registration To Technical Committee on Service Computing
Language JPN
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)
Keyword(1) QCD
Keyword(2) Machine Learning
Keyword(3) Project Management
Keyword(4) Utterance Analysis
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
3rd Author's Affiliation Nanzan University(Nanzan Univ.)
Date 2020-03-16
Paper # SC2019-40
Volume (vol) vol.119
Number (no) SC-482
Page pp.pp.35-40(SC),
#Pages 6
Date of Issue 2020-03-09 (SC)