{"title":"ISO26262功能安全验证的有效方法","authors":"F. A. D. Silva, A. Bagbaba, S. Hamdioui, C. Sauer","doi":"10.1109/IOLTS.2019.8854449","DOIUrl":null,"url":null,"abstract":"Tolerance to random hardware failures, required by ISO26262, entails accurate design behavior analysis, complex Verification Environments and expensive Fault Injection campaigns. This paper proposes a methodology combining the strengths of Automatic Test Pattern Generators (ATPG), Formal Methods and Fault Injection Simulation to decrease the efforts of Functional Safety Verification. Our methodology results in a fast-deployed Fault Injection environment achieving Fault detection rates higher than 99% on the tested designs. In addition, ISO26262 Tool Confidence level is improved by a fault analysis report that allows verification of malfunctions in the outputs of the tools.","PeriodicalId":383056,"journal":{"name":"2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Efficient Methodology for ISO26262 Functional Safety Verification\",\"authors\":\"F. A. D. Silva, A. Bagbaba, S. Hamdioui, C. Sauer\",\"doi\":\"10.1109/IOLTS.2019.8854449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tolerance to random hardware failures, required by ISO26262, entails accurate design behavior analysis, complex Verification Environments and expensive Fault Injection campaigns. This paper proposes a methodology combining the strengths of Automatic Test Pattern Generators (ATPG), Formal Methods and Fault Injection Simulation to decrease the efforts of Functional Safety Verification. Our methodology results in a fast-deployed Fault Injection environment achieving Fault detection rates higher than 99% on the tested designs. In addition, ISO26262 Tool Confidence level is improved by a fault analysis report that allows verification of malfunctions in the outputs of the tools.\",\"PeriodicalId\":383056,\"journal\":{\"name\":\"2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOLTS.2019.8854449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2019.8854449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Methodology for ISO26262 Functional Safety Verification
Tolerance to random hardware failures, required by ISO26262, entails accurate design behavior analysis, complex Verification Environments and expensive Fault Injection campaigns. This paper proposes a methodology combining the strengths of Automatic Test Pattern Generators (ATPG), Formal Methods and Fault Injection Simulation to decrease the efforts of Functional Safety Verification. Our methodology results in a fast-deployed Fault Injection environment achieving Fault detection rates higher than 99% on the tested designs. In addition, ISO26262 Tool Confidence level is improved by a fault analysis report that allows verification of malfunctions in the outputs of the tools.