{"title":"GenRL在SBST 2022工具竞赛中","authors":"L. L. L. Starace, Andrea Romdhana, S. Martino","doi":"10.1145/3526072.3527533","DOIUrl":null,"url":null,"abstract":"GenRL is a Deep Reinforcement Learning-based tool designed to generate test cases for Lane-Keeping Assist Systems. In this paper, we briefly presents GenRL, and summarize the results of its participation in the Cyber-Physical Systems (CPS) tool competition at SBST 2022.","PeriodicalId":206275,"journal":{"name":"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"GenRL at the SBST 2022 Tool Competition\",\"authors\":\"L. L. L. Starace, Andrea Romdhana, S. Martino\",\"doi\":\"10.1145/3526072.3527533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GenRL is a Deep Reinforcement Learning-based tool designed to generate test cases for Lane-Keeping Assist Systems. In this paper, we briefly presents GenRL, and summarize the results of its participation in the Cyber-Physical Systems (CPS) tool competition at SBST 2022.\",\"PeriodicalId\":206275,\"journal\":{\"name\":\"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3526072.3527533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3526072.3527533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GenRL is a Deep Reinforcement Learning-based tool designed to generate test cases for Lane-Keeping Assist Systems. In this paper, we briefly presents GenRL, and summarize the results of its participation in the Cyber-Physical Systems (CPS) tool competition at SBST 2022.
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