应用ATML测试结果和内部存储,方便智能数据分析

A. Smith, H. Wanigaratne
{"title":"应用ATML测试结果和内部存储,方便智能数据分析","authors":"A. Smith, H. Wanigaratne","doi":"10.1109/AUTEST.2012.6334520","DOIUrl":null,"url":null,"abstract":"Many organizations today struggle with getting meaningful insights out of their Test Data. Partly this is due to the complexity of the collection and aggregation of the data, and also partly due to the actual types of data that is recorded at the Test Stations. With some careful planning, the Test Data can be full of rich insights if some standard tags are added to the overall Test Data format.","PeriodicalId":142978,"journal":{"name":"2012 IEEE AUTOTESTCON Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of ATML test results and intrastage to facilitate intelligent data analysis\",\"authors\":\"A. Smith, H. Wanigaratne\",\"doi\":\"10.1109/AUTEST.2012.6334520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many organizations today struggle with getting meaningful insights out of their Test Data. Partly this is due to the complexity of the collection and aggregation of the data, and also partly due to the actual types of data that is recorded at the Test Stations. With some careful planning, the Test Data can be full of rich insights if some standard tags are added to the overall Test Data format.\",\"PeriodicalId\":142978,\"journal\":{\"name\":\"2012 IEEE AUTOTESTCON Proceedings\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE AUTOTESTCON Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AUTEST.2012.6334520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE AUTOTESTCON Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.2012.6334520","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

今天,许多组织都在努力从他们的测试数据中获得有意义的见解。部分原因是由于数据收集和汇总的复杂性,部分原因是由于在试验站记录的数据的实际类型。如果将一些标准标记添加到整个Test Data格式中,通过一些仔细的计划,测试数据可以充满丰富的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of ATML test results and intrastage to facilitate intelligent data analysis
Many organizations today struggle with getting meaningful insights out of their Test Data. Partly this is due to the complexity of the collection and aggregation of the data, and also partly due to the actual types of data that is recorded at the Test Stations. With some careful planning, the Test Data can be full of rich insights if some standard tags are added to the overall Test Data format.
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
×
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