{"title":"Research on Test Data Compression Method Based on Transformation","authors":"Ming Hu, Jing Hu, Hongjian Wang, Zhongqiu Xu","doi":"10.1109/ICMCCE51767.2020.00023","DOIUrl":null,"url":null,"abstract":"This paper designs an implementation of a transformation-based test data compression design. We uses Cellular Automata (CA) was used as a random matrix to split and transform the test set. This method decomposes the original test set into the main component set and the residual set. The main component set is composed of the most suitable part selected from the matrix composed of Cellular Automata. The residual set is obtained by decompressing the data passed in by the tester. When implementing a test, the test set is obtained through the exclusive XOR of the principal component set and the residual set, and is finally applied to the circuit under test. This method encodes and compresses the residual set, and the generation of the principal component set requires a little hardware cost. Compared with encoding and compressing the test set directly, this method can significantly increase the compression rate of encoding and compression, and the hardware overhead is also acceptable.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"7 1","pages":"73-76"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCCE51767.2020.00023","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 paper designs an implementation of a transformation-based test data compression design. We uses Cellular Automata (CA) was used as a random matrix to split and transform the test set. This method decomposes the original test set into the main component set and the residual set. The main component set is composed of the most suitable part selected from the matrix composed of Cellular Automata. The residual set is obtained by decompressing the data passed in by the tester. When implementing a test, the test set is obtained through the exclusive XOR of the principal component set and the residual set, and is finally applied to the circuit under test. This method encodes and compresses the residual set, and the generation of the principal component set requires a little hardware cost. Compared with encoding and compressing the test set directly, this method can significantly increase the compression rate of encoding and compression, and the hardware overhead is also acceptable.