{"created":"2025-01-19T01:30:17.143076+00:00","updated":"2025-01-19T11:07:40.022945+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230487","sets":["1164:1384:11164:11367"]},"path":["11367"],"owner":"44499","recid":"230487","title":["機械学習プロジェクトアンチパターンの普及モデル"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-23"},"_buckets":{"deposit":"7278f2ee-be3b-4cc8-aa34-2f06add938f4"},"_deposit":{"id":"230487","pid":{"type":"depid","value":"230487","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習プロジェクトアンチパターンの普及モデル","author_link":["621013","621012","621014","621015"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習プロジェクトアンチパターンの普及モデル"}]},"item_type_id":"4","publish_date":"2023-11-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"武蔵大学経済学部"},{"subitem_text_value":"信州大学工学部"},{"subitem_text_value":"神奈川大学情報学部"},{"subitem_text_value":"大阪大学大学院情報科学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Musashi University, Faculty of Economics","subitem_text_language":"en"},{"subitem_text_value":"Shinshu University, Faculty of Engineering","subitem_text_language":"en"},{"subitem_text_value":"Kanagawa University, Faculty of Informatics","subitem_text_language":"en"},{"subitem_text_value":"Osaka University, Graduate School of Information Science and Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/230487/files/IPSJ-SE23215011.pdf","label":"IPSJ-SE23215011.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE23215011.pdf","filesize":[{"value":"1.4 MB"}],"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":"1a80613b-375c-43f7-a6a8-78ee43e7403f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"竹内, 広宜"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小形, 真平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"海谷, 治彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中川, 博之"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112981","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8825","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"機械学習 (Machine Learning:ML) を活用したサービスシステムの開発が近年盛んに行われている．一般的なサービスシステムの開発ではプロジェクトを効果的に進めるための知識が体系化されている．ML サービスシステムの開発プロジェクト (ML プロジェクト) の実施においてもベストプラクティスやパターンといった知識が整備されつつあり，パターンについては，ML プロジェクトで課題を引き起こす状況やそれに対する解決策をまとめたアンチパターンも整備されている．しかしながら，パターンなどの知識では誰がその必要性を認識し，解決策を適用するのかは明確になっていない．そのため，ステークホルダ間の協働が重要となる ML プロジェクトではパターンなどの知識の活用が担当者の経験やスキルに依存することがある．本研究では，ML プロジェクトのアンチパターンについて，その普及モデルとその作成方法を提案する．そして，実際のアンチパターン群を提案手法を用いて普及モデルとして表現し，効果的な活用が可能であることを確認する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ソフトウェア工学（SE）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2023-SE-215"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230487,"links":{}}