{"title":"一种基于ABAC和数据流的XACML 3.0策略测试新方法","authors":"Yunpeng Zhang, Beibei Zhang","doi":"10.1109/ICCA.2017.8003052","DOIUrl":null,"url":null,"abstract":"In this paper, the authors propose a new data flow based unit testing method. The authors involved the coverage selection approach with a decision inheritance tree, which can achieve high structural coverage to design test cases. The authors evaluate the effectiveness of the methods and conducted two sets of tests by using a series of mutation operators. The evaluation results show that the new method can reach higher mutation scores.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new testing method for XACML 3.0 policy based on ABAC and data flow\",\"authors\":\"Yunpeng Zhang, Beibei Zhang\",\"doi\":\"10.1109/ICCA.2017.8003052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the authors propose a new data flow based unit testing method. The authors involved the coverage selection approach with a decision inheritance tree, which can achieve high structural coverage to design test cases. The authors evaluate the effectiveness of the methods and conducted two sets of tests by using a series of mutation operators. The evaluation results show that the new method can reach higher mutation scores.\",\"PeriodicalId\":379025,\"journal\":{\"name\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCA.2017.8003052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE International Conference on Control & Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2017.8003052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new testing method for XACML 3.0 policy based on ABAC and data flow
In this paper, the authors propose a new data flow based unit testing method. The authors involved the coverage selection approach with a decision inheritance tree, which can achieve high structural coverage to design test cases. The authors evaluate the effectiveness of the methods and conducted two sets of tests by using a series of mutation operators. The evaluation results show that the new method can reach higher mutation scores.