{"id":46893,"updated":"2025-01-22T09:14:33.277144+00:00","links":{},"created":"2025-01-18T23:12:30.065694+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00046893","sets":["1164:4088:4104:4106"]},"path":["4106"],"owner":"1","recid":"46893","title":["ブラウザモニタリングによる業務アプリ分析方法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2006-09-15"},"_buckets":{"deposit":"f4670534-3402-4af4-ba5c-0852ceb39cbc"},"_deposit":{"id":"46893","pid":{"type":"depid","value":"46893","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"ブラウザモニタリングによる業務アプリ分析方法","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ブラウザモニタリングによる業務アプリ分析方法"},{"subitem_title":"Business Application Analysis Method with Browser Monitoring","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2006-09-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"(株)日立製作所　中央研究所"},{"subitem_text_value":"(株)日立製作所　中央研究所"},{"subitem_text_value":"(株)日立製作所　中央研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Central Research Laboratory, Hitachi, Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Central Research Laboratory, Hitachi, Ltd.","subitem_text_language":"en"},{"subitem_text_value":"Central Research Laboratory, Hitachi, Ltd.","subitem_text_language":"en"}]},"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/46893/files/IPSJ-DSM06043003.pdf"},"date":[{"dateType":"Available","dateValue":"2008-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DSM06043003.pdf","filesize":[{"value":"887.4 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":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9e0da483-9215-42e9-b612-ead75bf87b3e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2006 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"櫻井, 隆雄"},{"creatorName":"恵木正史"},{"creatorName":"直野, 健"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takao, Sakurai","creatorNameLang":"en"},{"creatorName":"Masashi, Egi","creatorNameLang":"en"},{"creatorName":"Ken, Naono","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12326962","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、Webアプリを用いた業務効率化が進行している。これに伴い、Webアプリで行われている業務の状況を詳細に分析したいという要望が高まっている。本報告では業務用Webアプリにおけるボトルネックとなる作業を抽出する方法を提案する。本方法では、Webアプリの各作業の入力時間とシステム応答時間をブラウザの動作履歴から算出し、ボトルネックとなる作業を抽出する。本方法の有効性を検証するため営業事務センタにおいて実証実験を行った結果、業務用Webアプリのシステム応答時間の60%を占める5作業を明らかにでき、提案方法がWebアプリの分析に有効である見通しを得た。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Recently, a detailed analysis of operational efficiency that uses Web application is expected. This paper proposes a method for analyzing Web application to clear up operational bottlenecks. The method included an algorithm that evaluate operator's input time and system operate time from browser’s operational history. The method is applied to a sales-back office. It is confirmed that the method enables to exploit the main bottlenecks of Web application parts and that 60% of total bottlenecks are dominated by the top 5 functions.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"18","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告インターネットと運用技術（IOT）"}],"bibliographicPageStart":"13","bibliographicIssueDates":{"bibliographicIssueDate":"2006-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"97(2006-DSM-043)","bibliographicVolumeNumber":"2006"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}