{"title":"带观测路径合并的下标d算法在Brglez-Fujiwara电路上的基准运行","authors":"M. Ladjadj, J. McDonald","doi":"10.1145/37888.37964","DOIUrl":null,"url":null,"abstract":"To speed up the test generation process, the Subscripted D-Algorithm (AALG) uses \"gang\" testing in its attempts to construct a single test pattern designed to test simultaneously as many faults as possible. Other techniques such as merger of the observation paths and multiple backtrace are also introduced. However, the main purpose of this paper is to report results of the runs of AALG on various benchmark circuits specifically the Brglez-Fujiwara Circuits.","PeriodicalId":301552,"journal":{"name":"24th ACM/IEEE Design Automation Conference","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Benchmark Runs of the Subscripted D-Algorithm with Observation Path Mergers on the Brglez-Fujiwara Circuits\",\"authors\":\"M. Ladjadj, J. McDonald\",\"doi\":\"10.1145/37888.37964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To speed up the test generation process, the Subscripted D-Algorithm (AALG) uses \\\"gang\\\" testing in its attempts to construct a single test pattern designed to test simultaneously as many faults as possible. Other techniques such as merger of the observation paths and multiple backtrace are also introduced. However, the main purpose of this paper is to report results of the runs of AALG on various benchmark circuits specifically the Brglez-Fujiwara Circuits.\",\"PeriodicalId\":301552,\"journal\":{\"name\":\"24th ACM/IEEE Design Automation Conference\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"24th ACM/IEEE Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/37888.37964\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"24th ACM/IEEE Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/37888.37964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Benchmark Runs of the Subscripted D-Algorithm with Observation Path Mergers on the Brglez-Fujiwara Circuits
To speed up the test generation process, the Subscripted D-Algorithm (AALG) uses "gang" testing in its attempts to construct a single test pattern designed to test simultaneously as many faults as possible. Other techniques such as merger of the observation paths and multiple backtrace are also introduced. However, the main purpose of this paper is to report results of the runs of AALG on various benchmark circuits specifically the Brglez-Fujiwara Circuits.