{"updated":"2025-01-20T02:16:51.887710+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00187404","sets":["581:9322:9326"]},"path":["9326"],"owner":"11","recid":"187404","title":["フィーチャモデルの近似的解析によるフィーチャ構成導出手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-04-15"},"_buckets":{"deposit":"c83ebc00-d001-4008-9a41-1e1b3df8564b"},"_deposit":{"id":"187404","pid":{"type":"depid","value":"187404","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"フィーチャモデルの近似的解析によるフィーチャ構成導出手法","author_link":["423946","423947","423948","423949"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"フィーチャモデルの近似的解析によるフィーチャ構成導出手法"},{"subitem_title":"A Feature Configurations Derivation Method Based on Approximate Feature Model Analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：ソフトウェア工学] フィーチャモデル，フィーチャ構成導出，ソフトウェアプロダクトライン開発","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2018-04-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学"},{"subitem_text_value":"芝浦工業大学"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/187404/files/IPSJ-JNL5904008.pdf","label":"IPSJ-JNL5904008.pdf"},"date":[{"dateType":"Available","dateValue":"2020-04-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5904008.pdf","filesize":[{"value":"2.0 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c9bfb1bc-d26e-4867-ad1f-9c950073024a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岸, 知二"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野田, 夏子"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tomoji, Kishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Natsuko, Noda","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"フィーチャモデルからのフィーチャ構成導出は製品系列開発などで行われる重要な作業であるが，導出の計算量はNP完全であり，大きなモデルからの導出や導出の繰返しはコストが高い．フィーチャモデルの構造を解析することによって，たとえば導出の繰返しを効率化したり，より小さなサイズのフィーチャ構成を導出したりすることができるが，構造の解析もまた高コストである．本稿では，構造の解析を低計算量で近似的に行い，それに基づいてフィーチャ構成を導出する手法について提案する．シミュレーションによる評価で，本手法がフィーチャ構成導出の繰返しや，小さなサイズのフィーチャ構成導出に有効性を持つことを確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Feature configurations derivation from feature model is an important activity in product-lines development. As the computational complexity of the derivation is NP-complete, derivations from large feature models or repetition of derivations are expensive. By analyzing feature model, we could repeat the derivation efficiently or derive smaller size of feature configuration. However, the analysis of feature model is also expensive. In this paper, we propose a feature configuration derivation method in which we analyze feature model approximately at lower cost. We evaluate the method in terms of simulation and the result shows the effectiveness of the method.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1214","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1203","bibliographicIssueDates":{"bibliographicIssueDate":"2018-04-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"59"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:54:04.941662+00:00","id":187404,"links":{}}