{"created":"2024-10-24T05:32:01.014658+00:00","id":2001915,"links":{},"metadata":{"_buckets":{"deposit":"cefbbd3a-0c0d-4ed2-839f-cb6c5d834b12"},"_deposit":{"created_by":42,"id":"2001915","owners":[42],"pid":{"revision_id":0,"type":"depid","value":"2001915"},"status":"published"},"_oai":{"id":"oai:kindai.repo.nii.ac.jp:02001915","sets":["14:2667:1728522335637:1728523622287"]},"author_link":[],"item_1693381679919":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"=資源タイプ識別子":"http://purl.org/coar/resource_type/c_93fc","resourcetype":"report","resourceuri":"http://purl.org/coar/resource_type/c_93fc"}]},"item_30001_bibliographic_information17":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicNumberOfPages":"12","bibliographic_titles":[{"bibliographic_title":"科学研究費助成事業研究成果報告書 (2023)","bibliographic_titleLang":"ja"}]}]},"item_30001_creator2":{"attribute_name":"研究代表者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"34419","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"近畿大学","affiliationNameLang":"ja"},{"affiliationName":"Kindai University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"角田, 雅照","creatorNameLang":"ja"},{"creatorName":"Tsunoda, Masateru","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"60457140","nameIdentifierScheme":"e-Rad_Researcher"}]}]},"item_30001_description8":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"ソフトウェア品質向上に向け，欠陥予測モデルのオンライン最適化を検討した．成果は3種類に分類され，具体的には(1)欠陥予測モデルの精度向上，(2)オンライン最適化の欠陥予測以外への適用，(3)オンライン最適化自体の改善である．(1)については変数選択方法，アンサンブル学習方法などの選択に関して，オンライン最適化を行った．(2)についてはコードクローン検出，コード自動生成，ソフトウェアレビューなど対してオンライン最適化を適用した．(3)については，オンライン学習方法の問題点とその改善方法，ソフトウェアテストの再実施方法の2つを新たに提案した．これらより，ソフトウェア品質向上が期待される．","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"To enhance the quality of software, we have focused on the online optimization of defect prediction models. The achievements of this project are classified into three types: (1) accuracy improvement of defect prediction models, (2) application of online optimization besides defect prediction, and (3) improvement of online optimization. Specifically, (1) involves online optimization to select better methods such as variable reduction methods and ensemble learning methods. (2) applies online optimization to activities such as code clone detection, code generation, and software review. (3) clarifies the problem of online learning and its improvement, and proposes a new approach to software testing. The achievements of our project are expected to bring high-quality software.","subitem_description_language":"en","subitem_description_type":"Abstract"},{"subitem_description":"研究分野：ソフトウェア工学","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_30001_file22":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"21K11840seika.pdf","filesize":[{"value":"200.8 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kindai.repo.nii.ac.jp/record/2001915/files/21K11840seika.pdf"},"version_id":"b10ea84c-be55-49e9-9732-2b019891e70c"}]},"item_30001_funding_reference15":{"attribute_name":"助成情報","attribute_value_mlt":[{"subitem_award_numbers":{"subitem_award_number":"21K11840","subitem_award_uri":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K11840/"},"subitem_award_titles":[{"subitem_award_title":"ソフトウェア品質向上に向けた欠陥予測モデルのオンライン最適化の検討","subitem_award_title_language":"ja"},{"subitem_award_title":"Online Optimization of Defect Prediction Models Towards High Quality Software","subitem_award_title_language":"en"}],"subitem_funder_names":[{"subitem_funder_name":"独立行政法人日本学術振興会","subitem_funder_name_language":"ja"},{"subitem_funder_name":"Japan Society for the Promotion of Science","subitem_funder_name_language":"en"}]}]},"item_30001_language10":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_30001_subject7":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"多腕バンディット問題","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ソフトウェア開発プロジェクト","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"性能評価","subitem_subject_language":"ja","subitem_subject_scheme":"Other"}]},"item_30001_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ソフトウェア品質向上に向けた欠陥予測モデルのオンライン最適化の検討","subitem_title_language":"ja"},{"subitem_title":"Online Optimization of Defect Prediction Models Towards High Quality Software","subitem_title_language":"en"}]},"item_30001_version_type12":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_title":"ソフトウェア品質向上に向けた欠陥予測モデルのオンライン最適化の検討","item_type_id":"40001","owner":"42","path":["1728523622287"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-10-24"},"publish_date":"2024-10-24","publish_status":"0","recid":"2001915","relation_version_is_last":true,"title":["ソフトウェア品質向上に向けた欠陥予測モデルのオンライン最適化の検討"],"weko_creator_id":"42","weko_shared_id":-1},"updated":"2024-11-25T02:35:32.592305+00:00"}