测试模式生成的高效冗余识别

Sangyun Han, Sungho Kang
{"title":"测试模式生成的高效冗余识别","authors":"Sangyun Han, Sungho Kang","doi":"10.1109/ASIC.1997.616977","DOIUrl":null,"url":null,"abstract":"Due to the reconvergent fanouts which make the dependency among objectives and block the fault propagation, there may exist redundant faults in the circuits. This paper presents the isomorphism identification algorithm and the pseudo dominator algorithm which are used to identify redundant faults. Experimental results on ISCAS 85 benchmark circuits show that these algorithms are efficient in identifying redundant faults.","PeriodicalId":300310,"journal":{"name":"Proceedings. Tenth Annual IEEE International ASIC Conference and Exhibit (Cat. No.97TH8334)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient redundancy identification for test pattern generation\",\"authors\":\"Sangyun Han, Sungho Kang\",\"doi\":\"10.1109/ASIC.1997.616977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the reconvergent fanouts which make the dependency among objectives and block the fault propagation, there may exist redundant faults in the circuits. This paper presents the isomorphism identification algorithm and the pseudo dominator algorithm which are used to identify redundant faults. Experimental results on ISCAS 85 benchmark circuits show that these algorithms are efficient in identifying redundant faults.\",\"PeriodicalId\":300310,\"journal\":{\"name\":\"Proceedings. Tenth Annual IEEE International ASIC Conference and Exhibit (Cat. No.97TH8334)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Tenth Annual IEEE International ASIC Conference and Exhibit (Cat. No.97TH8334)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASIC.1997.616977\",\"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. Tenth Annual IEEE International ASIC Conference and Exhibit (Cat. No.97TH8334)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASIC.1997.616977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于扇出的再收敛使得目标间相互依赖,阻碍了故障的传播,使得电路中可能存在冗余故障。提出了用于冗余故障识别的同构识别算法和伪主导者算法。在ISCAS 85基准电路上的实验结果表明,该算法能够有效地识别冗余故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Efficient redundancy identification for test pattern generation
Due to the reconvergent fanouts which make the dependency among objectives and block the fault propagation, there may exist redundant faults in the circuits. This paper presents the isomorphism identification algorithm and the pseudo dominator algorithm which are used to identify redundant faults. Experimental results on ISCAS 85 benchmark circuits show that these algorithms are efficient in identifying redundant faults.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Low power optimization of bit-serial digital filters Applying functional decomposition for depth minimal technology mapping of multiplexer based FPGAs Layout verification to improve ESD/latchup immunity of scaled-down CMOS cell libraries A MAGFET sensor array for digital magnetic signal reading Low voltage and low power design of microwave mixer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1