{"title":"A measure of systems engineering effectiveness in government acquisition of complex information systems","authors":"Steven Doskey, T. Mazzuchi, S. Sarkani","doi":"10.1109/SysCon.2013.6549873","DOIUrl":null,"url":null,"abstract":"In this paper, the authors present an innovative means of gauging systems engineering effectiveness. This research uses a Bayesian Belief Network to model causal relationships present in government acquisitions of complex information systems and to create a Systems Engineering relative effectiveness index model that can be used to identify and analyze Systems Engineering patterns and subsequently predict possible areas of SE performance risk.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Systems Conference (SysCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SysCon.2013.6549873","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, the authors present an innovative means of gauging systems engineering effectiveness. This research uses a Bayesian Belief Network to model causal relationships present in government acquisitions of complex information systems and to create a Systems Engineering relative effectiveness index model that can be used to identify and analyze Systems Engineering patterns and subsequently predict possible areas of SE performance risk.
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