{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00186623","sets":["1164:1384:9436:9437"]},"path":["9437"],"owner":"11","recid":"186623","title":["インパクトスケールを用いた不具合修正にかかわるソフトウェア変更の予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-02"},"_buckets":{"deposit":"f16c5f4f-1c1c-48bc-9dc0-a541f776fcd8"},"_deposit":{"id":"186623","pid":{"type":"depid","value":"186623","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"インパクトスケールを用いた不具合修正にかかわるソフトウェア変更の予測","author_link":["419236","419231","419230","419232","419237","419234","419235","419233"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"インパクトスケールを用いた不具合修正にかかわるソフトウェア変更の予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"品質と保守","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-03-02","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/186623/files/IPSJ-SE18198033.pdf","label":"IPSJ-SE18198033.pdf"},"date":[{"dateType":"Available","dateValue":"2020-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE18198033.pdf","filesize":[{"value":"740.8 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":"4229cff3-89ba-41eb-aee0-cd9881caf201","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":"山田, 弘隆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中嶋, 久彰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 雅子"}],"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":"Hirotaka, Yamada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hisaaki, Nakajima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masako, Ito","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，ソフトウェアの不具合修正にかかわる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するにあたって，プロダクトメトリクスに加えてインパクトスケールを用いることで予測性能が向上することを示す．筆者らの組織のソフトウェア開発プロジェクトを対象に，統合 ・ 評価段階において検出された不具合の修正のために変更されるファイルを予測するにあたって，組織で運用している開発環境基盤から得られたプロダクトメトリクスとその差分を説明変数として用いた．また，変更が生じたファイルの数はそうでないものに比べて大幅に少ないという不均衡データであったため，復元抽出によるリサンプリング手法を適用した．予測性能を評価した結果，インパクトスケールは不具合修正にかかわる変更ファイルの予測に有用なメトリクスであることが示された．また，本研究で示された予測性能は，先行研究で示された予測性能に比べて高い水準にあることが示された．","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":"2018-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"33","bibliographicVolumeNumber":"2018-SE-198"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":186623,"updated":"2025-01-20T02:31:54.026190+00:00","links":{},"created":"2025-01-19T00:53:33.815478+00:00"}