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

Number of Access:1,009（2025-09-03 07:57 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/51340

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Title	A Proposal for Analysis and Prediction for Software Projects using Collaborative Filtering, In-Process Measurements and a Benchmarks Database
Creator	CreatorName Mitani, Yoshiki
	CreatorName Kikuchi, Nahomi
	CreatorName Matsumura, Tomoko
	NRID 1000020419493 1000020419493 CreatorName Ohsugi, Naoki
	NRID 1000080311786 1000080311786 CreatorName 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 CreatorName Higo, Yoshiki
	NRID 1000020168438 1000020168438 CreatorName Inoue, Katsuro
	CreatorName Barker, Mike
	NRID 1000070219492 1000070219492 CreatorName Matsumoto, Ken-ichi
Subject	Empirical Software Engineering
	In-process project measurement
	Collaborative filtering
	Software project database
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
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.
Page	98-107
Date of Issued	2006-11
Language	English
Handle URL	https://hdl.handle.net/11094/51340
Relation.isIdenticalTo	ISBN 9788498281019
Relation.isIdenticalTo	ISBN 8498281016
Access Rights	open access
oaire:version	Version of Record
Category	会議発表論文 Conference Paper

Resource Type	conference paper
Local Type	Conference Paper
DCMI Type	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	English
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	English
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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