{"title":"内置电流测试中基于模糊的电路划分","authors":"W. Tseng, Kuochen Wang","doi":"10.1109/ASPDAC.1997.600267","DOIUrl":null,"url":null,"abstract":"Partitioning a digital circuit into modules before implementing it on a single chip is key to balancing between the test cost and test correctness of built-in current testing (BICT). Most partitioning methods use statistical analysis to find the threshold value and then to determine the size of a module. These methods are rigid and inflexible, since IDDQ testing requires the measurement of an analog quantity rather than a digital signal. In this paper, we propose a fuzzy-based approach which provides a soft threshold to determine the module size for BICT partitioning. Evaluation results show that our design approach indeed provides a feasible way to exploit the design space of BICT partitioning.","PeriodicalId":242487,"journal":{"name":"Proceedings of ASP-DAC '97: Asia and South Pacific Design Automation Conference","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy-based circuit partitioning in built-in current testing\",\"authors\":\"W. Tseng, Kuochen Wang\",\"doi\":\"10.1109/ASPDAC.1997.600267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Partitioning a digital circuit into modules before implementing it on a single chip is key to balancing between the test cost and test correctness of built-in current testing (BICT). Most partitioning methods use statistical analysis to find the threshold value and then to determine the size of a module. These methods are rigid and inflexible, since IDDQ testing requires the measurement of an analog quantity rather than a digital signal. In this paper, we propose a fuzzy-based approach which provides a soft threshold to determine the module size for BICT partitioning. Evaluation results show that our design approach indeed provides a feasible way to exploit the design space of BICT partitioning.\",\"PeriodicalId\":242487,\"journal\":{\"name\":\"Proceedings of ASP-DAC '97: Asia and South Pacific Design Automation Conference\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ASP-DAC '97: Asia and South Pacific Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.1997.600267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ASP-DAC '97: Asia and South Pacific Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.1997.600267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy-based circuit partitioning in built-in current testing
Partitioning a digital circuit into modules before implementing it on a single chip is key to balancing between the test cost and test correctness of built-in current testing (BICT). Most partitioning methods use statistical analysis to find the threshold value and then to determine the size of a module. These methods are rigid and inflexible, since IDDQ testing requires the measurement of an analog quantity rather than a digital signal. In this paper, we propose a fuzzy-based approach which provides a soft threshold to determine the module size for BICT partitioning. Evaluation results show that our design approach indeed provides a feasible way to exploit the design space of BICT partitioning.