{"created":"2025-01-19T01:30:16.657333+00:00","updated":"2025-01-19T11:07:45.929844+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230482","sets":["1164:1384:11164:11367"]},"path":["11367"],"owner":"44499","recid":"230482","title":["コンテキストを考慮したSelf-Admitted Technical Debt検出ツールの提案にむけて"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-23"},"_buckets":{"deposit":"80ee6d44-72d1-4f21-9152-a95822423403"},"_deposit":{"id":"230482","pid":{"type":"depid","value":"230482","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"コンテキストを考慮したSelf-Admitted Technical Debt検出ツールの提案にむけて","author_link":["620991","620992","620993","620989","620990"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"コンテキストを考慮したSelf-Admitted Technical Debt検出ツールの提案にむけて"},{"subitem_title":"Toward Proposing a Context-Aware Self-Admitted Technical Debt Detection Tool","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2023-11-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"東京都市大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"}]},"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/230482/files/IPSJ-SE23215006.pdf","label":"IPSJ-SE23215006.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SE23215006.pdf","filesize":[{"value":"1.3 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":"30204ab3-a05b-4a79-9526-4512c11fb98b","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":"米倉, 未樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"柏, 祐太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤原, 賢二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"平尾, 俊貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯田, 元"}],"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":"Self-Admitted Technical Debt（SATD）とは，コード中に存在する不具合や解消すべき課題のことであり，その中でも開発者が課題を認識した上でコードに埋め込んだものを指す．例えば，開発者は SATD コメントをコード内に記述することで，現在の実装が最適でなく，将来の保守が必要であることをチームに周知することができる．近年では SATD を容易に分析するために，様々な SATD 検出手法が提案されている．しかし，ソースコードの処理を説明するコメントが SATD として誤検出される例が散見されている．本研究ではソースコード内のコンテキストを考慮することで誤検出を防止し，SATD 検出精度の向上を試みる．具体的には，CodeBERT を用いてコメントと直下のソースコードを入力として学習する．Maldonado らのデータセットを用いた評価実験では，コメントと直下のソースコードを学習した提案モデルは，コメントのみを入力として与えたモデルと比較して Acuuracy が 3.8% 向上した．また，Precision が 0.3% 低下したものの，Recall が 10% 向上したことで，F1 score が 4.8% 向上した．","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":"2023-11-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2023-SE-215"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230482,"links":{}}