{"title":"Trend Analyses of Accidents and Dependability Improvement in Financial Information Systems","authors":"Koichi Bando, Kenji Tanaka","doi":"10.1109/PRDC.2011.35","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze the trends of significant accidents in financial information systems from the user viewpoint. Based on the analyses, we show the priority issues for dependability improvement. First, as a prerequisite in this study, we define gaccidents, h gtypes of accidents, h gseverity of accidents, h and gfaults.h Second, we collected as many accident cases of financial information systems as possible during 12 years (1997-2008) from the information contained in four national major newspapers in Japan, news releases on websites, magazines, and books. Third, we analyzed the accident information according to type, severity, faults, and combinations of these factors. As a result, we showed the general trends of significant accidents. Last, based on the result of the analyses, we showed the priority issues for dependability improvement.","PeriodicalId":254760,"journal":{"name":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2011.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we analyze the trends of significant accidents in financial information systems from the user viewpoint. Based on the analyses, we show the priority issues for dependability improvement. First, as a prerequisite in this study, we define gaccidents, h gtypes of accidents, h gseverity of accidents, h and gfaults.h Second, we collected as many accident cases of financial information systems as possible during 12 years (1997-2008) from the information contained in four national major newspapers in Japan, news releases on websites, magazines, and books. Third, we analyzed the accident information according to type, severity, faults, and combinations of these factors. As a result, we showed the general trends of significant accidents. Last, based on the result of the analyses, we showed the priority issues for dependability improvement.
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