{"title":"Programming Routine Tasks Utilizing Scripting Automation in Generation of QSCAN Database","authors":"M.Thilagaraj, Kottaimalai Ramaraj, C.S.Sundar Ganesh, T.Vadivelan","doi":"10.1109/ICECAA58104.2023.10212198","DOIUrl":null,"url":null,"abstract":"This research study aims to generate a database in verification phase of a chip in the post silicon era. The database is generated through an automated script which automates the retrieval of all the testing data associated with the chip cores and domains. In this work, scripting automation for generation of QSCAN database is developed to eliminate the manual maintenance which are prone to errors and are highly tedious. Automation scripts are developed using Perl language. Separate scripts are developed for stuck-at-faults and transition delay faults. The database is generated with configuration file containing the test patterns, its directories and other identities of the chip, marker files and validation files which has the files expressing the successful validation details of a chip. The database incorporates information on all the instances of a chip.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA58104.2023.10212198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research study aims to generate a database in verification phase of a chip in the post silicon era. The database is generated through an automated script which automates the retrieval of all the testing data associated with the chip cores and domains. In this work, scripting automation for generation of QSCAN database is developed to eliminate the manual maintenance which are prone to errors and are highly tedious. Automation scripts are developed using Perl language. Separate scripts are developed for stuck-at-faults and transition delay faults. The database is generated with configuration file containing the test patterns, its directories and other identities of the chip, marker files and validation files which has the files expressing the successful validation details of a chip. The database incorporates information on all the instances of a chip.