A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database

Mitani, Yoshiki; Kikuchi, Nahomi; Matsumura, Tomoko; Ohsugi, Naoki; Monden, Akito; Higo, Yoshiki; Inoue, Katsuro; Barker, Mike; Matsumoto, Ken-ichi

A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database

Mitani, Yoshiki; Kikuchi, Nahomi; Matsumura, Tomoko et al.

2006, 98-107

アクセス数:1,009件（2025-09-03 09:34 集計）

固定URL: https://hdl.handle.net/11094/51340

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タイトル	A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database
著者	著者名 Mitani, Yoshiki
	著者名 Kikuchi, Nahomi
	著者名 Matsumura, Tomoko
	NRID 1000020419493 1000020419493 著者名 Ohsugi, Naoki
	NRID 1000080311786 1000080311786 著者名 Monden, Akito
	NRID 1000070452414 1000070452414 ORCID 0000-0002-8278-8975 0000-0002-8278-8975 researchmap permalink yoshiki.higo yoshiki.higo Scopus Author ID 7004831134 7004831134 著者名 Higo, Yoshiki
	NRID 1000020168438 1000020168438 著者名 Inoue, Katsuro
	著者名 Barker, Mike
	NRID 1000070219492 1000070219492 著者名 Matsumoto, Ken-ichi
キーワード等	Empirical Software Engineering
	In-process project measurement
	Collaborative filtering
	Software project database
内容	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS AND PRODUCT MEASUREMENT(MENSURA 2006)
	CÁDIZ – SPAIN
	NOVEMBER, 6 – 8, 2006
	Alain Abran Reiner Dumke Mercedes Ruiz (Eds.)
	刊行年月日は会議開催日を参考にした
抄録	This paper proposes a new method for developing predictions and estimates for ongoing projects by comparing in-process measurements of the current project with benchmark data from previous projects. The method uses collaborative filtering to identify groups of similar projects in the benchmark database and then to develop predictions and estimates based on the in-process measurements of the current project and the comparison data from the similar projects. The authors base this proposal on experiments with multidimensional in-process project measurement in a middle-scale multi-vendor development that lacked transparency in its processes. The authors' measurement trial verified the usefulness of the measurement methods, especially in project management, as reported in the paper.
ページ	98-107
刊行年月	2006-11
言語	英語
ハンドルURL	https://hdl.handle.net/11094/51340
関連情報 (isIdenticalTo)	ISBN 9788498281019
関連情報 (isIdenticalTo)	ISBN 8498281016
アクセス権	open access
出版タイプ	Version of Record
カテゴリ	会議発表論文 Conference Paper

資源タイプ	会議発表論文
ローカル資源タイプ	会議発表論文
DCMI資源タイプ	text
DC.title	A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database
DC.creator	Mitani, Yoshiki
	Kikuchi, Nahomi
	Matsumura, Tomoko
	Ohsugi, Naoki
	Monden, Akito
	Higo, Yoshiki
	Inoue, Katsuro
	Barker, Mike
	Matsumoto, Ken-ichi
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2006-11
DC.subject	Empirical Software Engineering
	In-process project measurement
	Collaborative filtering
	Software project database
DC.description	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS AND PRODUCT MEASUREMENT(MENSURA 2006)
	CÁDIZ – SPAIN
	NOVEMBER, 6 – 8, 2006
	Alain Abran Reiner Dumke Mercedes Ruiz (Eds.)
	刊行年月日は会議開催日を参考にした
DCTERMS.abstract	This paper proposes a new method for developing predictions and estimates for ongoing projects by comparing in-process measurements of the current project with benchmark data from previous projects. The method uses collaborative filtering to identify groups of similar projects in the benchmark database and then to develop predictions and estimates based on the in-process measurements of the current project and the comparison data from the similar projects. The authors base this proposal on experiments with multidimensional in-process project measurement in a middle-scale multi-vendor development that lacked transparency in its processes. The authors' measurement trial verified the usefulness of the measurement methods, especially in project management, as reported in the paper.
DC.format	51340
citation_title	A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database
citation_author	Mitani, Yoshiki
	Kikuchi, Nahomi
	Matsumura, Tomoko
	Ohsugi, Naoki
	Monden, Akito
	Higo, Yoshiki
	Inoue, Katsuro
	Barker, Mike
	Matsumoto, Ken-ichi
citation_language	英語
citation_date	2006-11
citation_firstpage	98
citation_lastpage	107
citation_public_url	https://hdl.handle.net/11094/51340

A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database

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