{"created":"2025-01-18T23:37:03.683817+00:00","updated":"2025-01-21T18:29:40.600875+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00083612","sets":["6164:6165:6522:6852"]},"path":["6852"],"owner":"11","recid":"83612","title":["人間系要因に着目したプロジェクト評価項目開発とプロジェクト実績予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2012-08-21"},"_buckets":{"deposit":"e5b13d76-513d-483d-a903-244ca6102893"},"_deposit":{"id":"83612","pid":{"type":"depid","value":"83612","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"人間系要因に着目したプロジェクト評価項目開発とプロジェクト実績予測","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"人間系要因に着目したプロジェクト評価項目開発とプロジェクト実績予測"},{"subitem_title":"Human Factor Explanatory Variables that Predict Project Results","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"要求工学","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2012-08-21","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"(株)富士通研究所"},{"subitem_text_value":"(株)富士通研究所"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Fujitsu Laboratories Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Fujitsu Laboratories Ltd.","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/83612/files/IPSJ-SES2012008.pdf"},"date":[{"dateType":"Available","dateValue":"2014-08-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SES2012008.pdf","filesize":[{"value":"793.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"12"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8760a54a-0b6f-402b-bccd-b61b9dcd3db6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2012 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡邉, 俊一"},{"creatorName":"小幡, 明彦"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shunichi, Watanabe","creatorNameLang":"en"},{"creatorName":"Akihiko, Obata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"システム開発プロジェクトから得たデータを用いて，開発工数やプロジェクト成否等を予測する研究が多く成されている．しかし，従来研究は IPA/SECのデータ白書で公開されているような，既存の標準的な評価項目を利用することが多く，システム開発の成功を左右する要件定義での顧客とベンダーとのインタラクションのような，プロジェクトでの実践状況は考慮されていない．本研究ではこの問題に対し，エスノグラフィーと呼ばれる調査技法を利用して人間系要因の評価項目を開発し，それらがプロジェクト実績予測の重要な説明変数であることを示す．134プロジェクトデータを利用した，ステップワイズ重回帰分析による評価実験では，従来の評価項目に対し追加された人間系要因の評価項目が，1%有意水準を満たし説明変数の一つとして選択される結果となり，新たな評価項目としての妥当性が確認された．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"There have been number of studies that have reported on methods for predicting project man-hour and failures from project profile data collected from system integration projects. Conventional research, however, focused only on standard project profile data using variables such as those published in the white paper of IPA/SEC. Work practice of projects such as how project members interacting with customers were not considered although they were crucial for project success. In this paper, we propose a method for developing the human factor explanatory variables for predicting project results based on ethnographic study. We show that these variables are significant for predicting project results. We conduct stepwise multiple regression analysis based on the data of 134 projects. The result shows that several new human factor explanatory variables are significant at a 1% significance level.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"ソフトウェアエンジニアリングシンポジウム2012論文集"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2012-08-21","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2012"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":83612,"links":{}}