{"title":"基于遗传算法的软件项目风险识别方法","authors":"Nan Feng, Jing Xie","doi":"10.1109/ICIEEM.2009.5344515","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6326,"journal":{"name":"2009 16th International Conference on Industrial Engineering and Engineering Management","volume":"195 1","pages":"618-621"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A method for software project risk identification based on GA\",\"authors\":\"Nan Feng, Jing Xie\",\"doi\":\"10.1109/ICIEEM.2009.5344515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":6326,\"journal\":{\"name\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"195 1\",\"pages\":\"618-621\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 16th International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEEM.2009.5344515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 16th International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEEM.2009.5344515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method for software project risk identification based on GA
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.
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