{"title":"无重置的学习模型和测试案例研究","authors":"N. Brémond, Roland Groz","doi":"10.1109/ICSTW.2019.00030","DOIUrl":null,"url":null,"abstract":"This paper assesses a method to reverse engineer models from software or cyber-physical systems that cannot be reset. This is done through active learning, and can compare favourably as a systematic testing method.","PeriodicalId":310230,"journal":{"name":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","volume":"16 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Case Studies in Learning Models and Testing Without Reset\",\"authors\":\"N. Brémond, Roland Groz\",\"doi\":\"10.1109/ICSTW.2019.00030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper assesses a method to reverse engineer models from software or cyber-physical systems that cannot be reset. This is done through active learning, and can compare favourably as a systematic testing method.\",\"PeriodicalId\":310230,\"journal\":{\"name\":\"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)\",\"volume\":\"16 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTW.2019.00030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTW.2019.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Case Studies in Learning Models and Testing Without Reset
This paper assesses a method to reverse engineer models from software or cyber-physical systems that cannot be reset. This is done through active learning, and can compare favourably as a systematic testing method.