{"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}
引用次数: 4
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.
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