Ezequiel Castellano, Stefan Klikovits, A. Cetinkaya, Paolo Arcaini
{"title":"FreneticV在SBST 2022工具竞赛上","authors":"Ezequiel Castellano, Stefan Klikovits, A. Cetinkaya, Paolo Arcaini","doi":"10.1145/3526072.3527532","DOIUrl":null,"url":null,"abstract":"FreneticV is a search-based testing tool based on an evolutionary approach that generates roads where an automated driving agent possibly fails the lane-keeping task. It uses a curvature-based road representation and, compared to its predecessor Frenetic, considers the validity of the generated roads. In particular, it tries to avoid generating roads with overly sharp turns, detects self-intersecting roads, and can rotate and relocate roads to fit them in a given map.","PeriodicalId":206275,"journal":{"name":"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"FreneticV at the SBST 2022 Tool Competition\",\"authors\":\"Ezequiel Castellano, Stefan Klikovits, A. Cetinkaya, Paolo Arcaini\",\"doi\":\"10.1145/3526072.3527532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FreneticV is a search-based testing tool based on an evolutionary approach that generates roads where an automated driving agent possibly fails the lane-keeping task. It uses a curvature-based road representation and, compared to its predecessor Frenetic, considers the validity of the generated roads. In particular, it tries to avoid generating roads with overly sharp turns, detects self-intersecting roads, and can rotate and relocate roads to fit them in a given map.\",\"PeriodicalId\":206275,\"journal\":{\"name\":\"2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"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/10.1145/3526072.3527532\",\"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/10.1145/3526072.3527532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FreneticV is a search-based testing tool based on an evolutionary approach that generates roads where an automated driving agent possibly fails the lane-keeping task. It uses a curvature-based road representation and, compared to its predecessor Frenetic, considers the validity of the generated roads. In particular, it tries to avoid generating roads with overly sharp turns, detects self-intersecting roads, and can rotate and relocate roads to fit them in a given map.
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