{"id":174355,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174355","sets":["6164:6165:6522:8893"]},"path":["8893"],"owner":"11","recid":"174355","title":["変更履歴を活用したFault-prone 予測モデルの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-08-24"},"_buckets":{"deposit":"b385048c-c36a-4df0-bca1-403038bd826b"},"_deposit":{"id":"174355","pid":{"type":"depid","value":"174355","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"変更履歴を活用したFault-prone 予測モデルの提案","author_link":["357462","357459","357461","357460"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"変更履歴を活用したFault-prone 予測モデルの提案"},{"subitem_title":"Fault-prone module prediction model utilizing source code differences among versions","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"プロジェクト予測・分析","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2016-08-24","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":"早稲田大学"},{"subitem_text_value":"早稲田大学"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Waseda University","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/174355/files/IPSJ-SES2016010.pdf","label":"IPSJ-SES2016010.pdf"},"date":[{"dateType":"Available","dateValue":"2018-08-24"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SES2016010.pdf","filesize":[{"value":"1.1 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":"1552eca0-718b-4b6e-825d-a10b946344ce","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田中, 颯"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岸, 知二"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hayate, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomoji, Kishi","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":"Fault-prone モジュール予測において，バージョン間におけるソフトウェアの変更履歴に着目した予測モデルが有用であることが多くの文献で報告されている．本稿では，ソフトウェアの特徴量 (プロダクトメトリクス) とバージョン間の変更履歴を共に用いた Fault-prone モジュール予測モデルを提案する．複数回バージョンアップされている OSS を用いて実際にモデルを作成し，どちらか一方のみを用いて作成したモデルよりも予測精度が高いことを確認した．さらに，作成したモデルに対して AIC による変数選択を行い，バージョン毎に選択される変数が異なっていることがわかった．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Many studies reported that code churn, the amount of code change between two versions, are useful for fault-prone module prediction. Based on them, we propose a fault-prone module prediction model utilizing measures of code churn as well as product metrics. We evaluate the model in terms of OSS to show that proposed model prediction is higher than that of models using one of them. We also applied AIC (Akaike’s Information Criterion) and examine the effect of variable selection.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"49","bibliographic_titles":[{"bibliographic_title":"ソフトウェアエンジニアリングシンポジウム2016論文集"}],"bibliographicPageStart":"42","bibliographicIssueDates":{"bibliographicIssueDate":"2016-08-24","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:52:56.878033+00:00","created":"2025-01-19T00:44:33.907061+00:00","links":{}}