{"title":"Efficient multiphase test set embedding for scan-based testing","authors":"E. Kalligeros, X. Kavousianos, D. Nikolos","doi":"10.1109/ISQED.2006.56","DOIUrl":null,"url":null,"abstract":"In this paper, a new test set embedding method with re-seeding for scan-based testing is proposed. The bit sequences of multiple cells of an LFSR, which is used as test pattern generator, are exploited for effectively encoding the test set of the core under test (multiphase architecture). A new algorithm which comprises four heuristic criteria is introduced for efficiently selecting the required seeds and LFSR cells. Also, a cost metric for assessing the quality of the algorithm's results is proposed. By using this metric, the process of determining proper values for the algorithm's input parameters is significantly simplified. The proposed method compares favorably with the most recent and effective test set embedding techniques in the literature","PeriodicalId":138839,"journal":{"name":"7th International Symposium on Quality Electronic Design (ISQED'06)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Symposium on Quality Electronic Design (ISQED'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISQED.2006.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, a new test set embedding method with re-seeding for scan-based testing is proposed. The bit sequences of multiple cells of an LFSR, which is used as test pattern generator, are exploited for effectively encoding the test set of the core under test (multiphase architecture). A new algorithm which comprises four heuristic criteria is introduced for efficiently selecting the required seeds and LFSR cells. Also, a cost metric for assessing the quality of the algorithm's results is proposed. By using this metric, the process of determining proper values for the algorithm's input parameters is significantly simplified. The proposed method compares favorably with the most recent and effective test set embedding techniques in the literature