Signal modeling focused on resource configuration and information acquisition

Zhang Wei, Shen Shituan, Li Yuhua
{"title":"Signal modeling focused on resource configuration and information acquisition","authors":"Zhang Wei, Shen Shituan, Li Yuhua","doi":"10.1109/AUTEST.2002.1047926","DOIUrl":null,"url":null,"abstract":"Some accessorial and peripheral work has often been considered burdensome in preparing a complicated test assignment when operating ATE. Since the signal is one of the most important objects for investigation, it is necessary to acquire the elaborate information of resource and channels in order to contribute to the subsequent configuration. Nevertheless it is difficult and inconvenient to deduce the required knowledge only from the known signals. It seems that some efforts concerning the signal's generation would benefit the puzzle's solution. Aiming to alleviate the limited test resource situations and provide the active, automatic configuration process, this paper proposes a signal modeling method based on Object-Oriented Analysis (OOA) with a general description language, and according to this consideration, an implementation approach which can acquire resource related information from a given signal is discussed. Through the analysis of possible relations between resources and signals, the recursive expressions are presented theoretically, and the signal's resource condition P(S/sub i/) and inheritance priority In(S/sub i/) are put forward to evaluate its generation cost and the feasibility of configuration.","PeriodicalId":372875,"journal":{"name":"Proceedings, IEEE AUTOTESTCON","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings, IEEE AUTOTESTCON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.2002.1047926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Some accessorial and peripheral work has often been considered burdensome in preparing a complicated test assignment when operating ATE. Since the signal is one of the most important objects for investigation, it is necessary to acquire the elaborate information of resource and channels in order to contribute to the subsequent configuration. Nevertheless it is difficult and inconvenient to deduce the required knowledge only from the known signals. It seems that some efforts concerning the signal's generation would benefit the puzzle's solution. Aiming to alleviate the limited test resource situations and provide the active, automatic configuration process, this paper proposes a signal modeling method based on Object-Oriented Analysis (OOA) with a general description language, and according to this consideration, an implementation approach which can acquire resource related information from a given signal is discussed. Through the analysis of possible relations between resources and signals, the recursive expressions are presented theoretically, and the signal's resource condition P(S/sub i/) and inheritance priority In(S/sub i/) are put forward to evaluate its generation cost and the feasibility of configuration.
信号建模侧重于资源配置和信息获取
在操作ATE时,在准备复杂的测试任务时,一些辅助和外围工作通常被认为是繁重的。由于信号是最重要的研究对象之一,因此有必要获取资源和通道的详细信息,以便为后续配置做出贡献。然而,仅从已知的信号中推导出所需的知识是困难和不方便的。似乎一些关于信号产生的努力将有利于这个谜题的解决。为了缓解测试资源有限的情况,提供主动、自动的配置过程,提出了一种基于通用描述语言的面向对象分析(OOA)的信号建模方法,并据此讨论了一种从给定信号中获取资源相关信息的实现方法。通过分析资源与信号之间可能存在的关系,从理论上给出了递归表达式,并提出了信号的资源条件P(S/sub i/)和继承优先级In(S/sub i/)来评估其产生成本和配置可行性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信