{"title":"基于突变的硬件设计错误诊断测试生成","authors":"Shujun Deng, K. Cheng, Jinian Bian, Zhiqiu Kong","doi":"10.1109/TEST.2010.5699307","DOIUrl":null,"url":null,"abstract":"We propose the use of mutation-based error injection to guide the generation of high-quality diagnostic test patterns. A software-based fault localization technique is employed to derive a ranked candidate list of suspect statements. Experimental results for a set of Verilog designs demonstrate that a finer diagnostic resolution can be achieved by patterns generated by the proposed method.","PeriodicalId":265156,"journal":{"name":"2010 IEEE International Test Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Mutation-based diagnostic test generation for hardware design error diagnosis\",\"authors\":\"Shujun Deng, K. Cheng, Jinian Bian, Zhiqiu Kong\",\"doi\":\"10.1109/TEST.2010.5699307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose the use of mutation-based error injection to guide the generation of high-quality diagnostic test patterns. A software-based fault localization technique is employed to derive a ranked candidate list of suspect statements. Experimental results for a set of Verilog designs demonstrate that a finer diagnostic resolution can be achieved by patterns generated by the proposed method.\",\"PeriodicalId\":265156,\"journal\":{\"name\":\"2010 IEEE International Test Conference\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Test Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TEST.2010.5699307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Test Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TEST.2010.5699307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mutation-based diagnostic test generation for hardware design error diagnosis
We propose the use of mutation-based error injection to guide the generation of high-quality diagnostic test patterns. A software-based fault localization technique is employed to derive a ranked candidate list of suspect statements. Experimental results for a set of Verilog designs demonstrate that a finer diagnostic resolution can be achieved by patterns generated by the proposed method.