A Method for Software Project Risk Identification Based on GA

机译：基于遗传算法的软件项目风险识别方法

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摘要

A software project risk identification process based on Genetic Algorithms (GA) is presented in this paper. The risk identification process utilizes GA to search the rules of risk identification based on historical data in software project in order to identify the risks in the process of software project development. The application process of GA in risk identification is analyzed in the paper. Finally,the validity of risk identification process is proved using an example.

机译：提出了一种基于遗传算法的软件项目风险识别流程。风险识别过程利用遗传算法基于软件项目中的历史数据来搜索风险识别规则，以识别软件项目开发过程中的风险。分析了遗传算法在风险识别中的应用过程。最后，通过实例证明了风险识别过程的有效性。

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《IEEE international conference on industrial engineering and engineering management;IEEM'2009》|2009年|p.618-621|共4页
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作者
Nan Feng; Jing Xie;
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正文语种
中图分类管理学;
关键词
Genetic Algorithms (GA); risk identification; software project;

机译：遗传算法;风险识别;软件项目;

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7. Renal insufficiency and anemia are independent risk factors for death among patients with acute myocardial infarction1,21As published material, the contents of this manuscript may not be cited, quoted, reproduced or published without the consent of the authors.2The analyses upon which this publication is based were performed under Contract Number 500-96-P704, entitled “Operation Utilization and Quality Control Peer Review Organization (PRO) for the State of Georgia” and sponsored by the Centers for Medicare and Medicaid Services (CMS), Department of Health and Human Services. The conclusions and opinions expressed, and methods used herein are those of the authors. They do not necessarily reflect CMS policy. The authors assume full responsibility for the accuracy and completeness of the ideas presented. This article is a direct result of the Health Care Quality Improvement Program initiated by CMS, which has encouraged identification of quality improvement projects derived from analysis of patterns of care, and therefore required no special funding on the part of this Contractor. Ideas and contributions to the authors concerning experience in engaging with issues presented are welcomed. [O] . Langston Robert D., Presley Rodney, Flanders W. Dana, 2003

机译：肾功能不全和贫血是急性心肌梗死患者死亡的独立危险因素1,21作为已发表的材料，未经作者的同意，不得引用，引用，复制或出版该手稿的内容。2本出版物所依据的分析这些工作是根据合同号500-96-P704进行的，该合同的标题为“佐治亚州的运营利用和质量控制同行评审组织（PRO）”，由卫生与人文部医疗保险和医疗补助中心（CMS）赞助服务。所表达的结论和意见以及本文使用的方法均为作者的结论和意见。它们不一定反映CMS政策。作者对所提出想法的准确性和完整性承担全部责任。本文是CMS发起的“医疗保健质量改善计划”的直接结果，该计划鼓励鉴定通过对护理模式进行分析而得出的质量改善项目，因此该承包商不需要任何特殊资金。欢迎作者提出解决问题的经验和想法。

A Method for Software Project Risk Identification Based on GA

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