{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00224562","sets":["1164:1384:11164:11165"]},"path":["11165"],"owner":"44499","recid":"224562","title":["機械学習プロジェクトにおけるアンチパターンとその整備"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-02"},"_buckets":{"deposit":"86c37ef0-9d1f-4784-af86-45b66c22936f"},"_deposit":{"id":"224562","pid":{"type":"depid","value":"224562","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習プロジェクトにおけるアンチパターンとその整備","author_link":["592358","592360","592361","592359"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習プロジェクトにおけるアンチパターンとその整備"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"プロジェクト管理・教育・分析調査","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-03-02","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":"神奈川大学理学部"},{"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 Science","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/224562/files/IPSJ-SE23213022.pdf","label":"IPSJ-SE23213022.pdf"},"date":[{"dateType":"Available","dateValue":"2025-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE23213022.pdf","filesize":[{"value":"1.2 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":"de532fa2-ebb8-4bf5-8be4-45467e1a15df","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進める上で遭遇する技術的な課題を解決するために様々な知見を蓄積し，それを別のプロジェクトの実施において活用している．機械学習を活用したサービスシステムの開発するMLプロジェクトにおいても，技術的な課題に対する解決策が知識として蓄積されつつある．しかしながら，整備された解決策がどういった場面で利用できるのかが不明確であるため，これらの蓄積された知識の活用は実務家の経験やスキルに依存する状態にある．そこで本研究では，ML プロジェクトについて課題を引き起こす可能性がある状況を不吉な匂いとしてとらえ，プロジェクトで適用されるさまざまな解決策をもとに，それらを適用すべき状況を不吉な匂いとして収集し，アンチパターンを作成した．そして，作成したアンチパターンについて記載されている不吉な匂いに対する認知度を調査することで，広くプロジェクトでパターンを利用できるかを確認した．","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":"2023-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicVolumeNumber":"2023-SE-213"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:24:08.258356+00:00","updated":"2025-01-19T13:06:00.088666+00:00","id":224562}