{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00192414","sets":["1164:1384:9436:9604"]},"path":["9604"],"owner":"44499","recid":"192414","title":["ランダムフォレストを用いたソフトウェア不具合修正予測におけるインパクトスケールの有用性"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-11-26"},"_buckets":{"deposit":"3cc33d66-6528-4a30-ab4a-517cc5fe82bd"},"_deposit":{"id":"192414","pid":{"type":"depid","value":"192414","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ランダムフォレストを用いたソフトウェア不具合修正予測におけるインパクトスケールの有用性","author_link":["448877","448880","448881","448876","448874","448878","448875","448879"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ランダムフォレストを用いたソフトウェア不具合修正予測におけるインパクトスケールの有用性"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"品質","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-11-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東洋大学経営学部"},{"subitem_text_value":"富士通株式会社"},{"subitem_text_value":"富士通株式会社"},{"subitem_text_value":"富士通株式会社"}]},"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/192414/files/IPSJ-SE18200007.pdf","label":"IPSJ-SE18200007.pdf"},"date":[{"dateType":"Available","dateValue":"2020-11-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE18200007.pdf","filesize":[{"value":"1.6 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":"30693c8c-799a-4a60-b976-5ca4f1220ee2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"野中, 誠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中嶋, 久彰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 雅子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 弘隆"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Makoto, Nonaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hisaaki, Nakajima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masako, Ito","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirotaka, Yamada","creatorNameLang":"en"}],"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":"本稿では，筆者らの組織で独立に開発された二つの製品システムをそれぞれ構成する二つのソフトウェアを対象に，統合 ・ 評価段階において検出された不具合修正により変更が生じるファイルをランダムフォレストにより予測した結果を述べる．筆者らの組織で運用している開発環境基盤から得られたインパクトスケールを含むプロダクトメトリクスとその差分を測定し，不具合修正予測の説明変数とした．分析の結果，一方のソフトウェアではインパクトスケールとその差分を含む方がそうでない場合に比べて予測性能が上回る結果が示されたが，他方のソフトウェアではそうでない結果が示された．ただし，インパクトスケールとその差分を含む予測結果はいずれも先行研究に比べて高い予測性能であったことから，インパクトスケールの有用性を確認することができた．","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":"2018-11-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2018-SE-200"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":192414,"updated":"2025-01-20T00:09:29.343705+00:00","links":{},"created":"2025-01-19T00:58:07.666787+00:00"}