A novel formal approach to generate high-level test vectors without ILP and SAT solvers

B. Alizadeh, M. Fujita
{"title":"A novel formal approach to generate high-level test vectors without ILP and SAT solvers","authors":"B. Alizadeh, M. Fujita","doi":"10.1109/HLDVT.2007.4392794","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel formal method to generate functional test vectors using a hybrid Boolean-word canonical representation called Linear Taylor Expansion Diagram (LTED) [1] rather than utilizing SAT or ILP solvers. Our approach differs from other methods since it not only uses a canonical hybrid representation, but also generates behavioral test patterns from faulty behavior instead of checking the equivalence between the fault-free and faulty designs. After representing the faulty behavior in LTED, based on a beneficial property of this canonical representation, we will be able to distinguish the fault-free portion of the faulty design. Furthermore, it is possible to determine conditions caused the related faults are propagated to at least one of primary outputs. In order to evaluate the performance of the proposed method, it is run on some large industrial designs and experimental results are compared with those of Hybrid SAT (HSAT) approach [2].","PeriodicalId":339324,"journal":{"name":"2007 IEEE International High Level Design Validation and Test Workshop","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International High Level Design Validation and Test Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HLDVT.2007.4392794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

This paper proposes a novel formal method to generate functional test vectors using a hybrid Boolean-word canonical representation called Linear Taylor Expansion Diagram (LTED) [1] rather than utilizing SAT or ILP solvers. Our approach differs from other methods since it not only uses a canonical hybrid representation, but also generates behavioral test patterns from faulty behavior instead of checking the equivalence between the fault-free and faulty designs. After representing the faulty behavior in LTED, based on a beneficial property of this canonical representation, we will be able to distinguish the fault-free portion of the faulty design. Furthermore, it is possible to determine conditions caused the related faults are propagated to at least one of primary outputs. In order to evaluate the performance of the proposed method, it is run on some large industrial designs and experimental results are compared with those of Hybrid SAT (HSAT) approach [2].
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
一种新的形式化方法来生成高级测试向量,而不需要ILP和SAT求解器
本文提出了一种新的形式化方法,使用称为线性泰勒展开图(LTED)[1]的混合布尔词规范化表示来生成功能测试向量,而不是使用SAT或ILP求解器。我们的方法不同于其他方法,因为它不仅使用了规范的混合表示,而且还从错误行为中生成行为测试模式,而不是检查无故障和有故障设计之间的等效性。在ltd中表示故障行为之后,基于这种规范表示的有利性质,我们将能够区分故障设计的无故障部分。此外,还可以确定导致相关故障传播到至少一个主输出的条件。为了评估该方法的性能,在一些大型工业设计中运行了该方法,并将实验结果与混合SAT (HSAT)方法的实验结果进行了比较[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reliable network-on-chip based on generalized de Bruijn graph Automatic error diagnosis and correction for RTL designs A novel formal approach to generate high-level test vectors without ILP and SAT solvers Hierarchical cache coherence protocol verification one level at a time through assume guarantee Towards RTL test generation from SystemC TLM specifications
×
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