GABezier在SBST 2021工具竞赛上

2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST) Pub Date : 2021-05-01 DOI:10.1109/SBST52555.2021.00017

Florian Klück, Lorenz Klampfl, F. Wotawa

{"title":"GABezier在SBST 2021工具竞赛上","authors":"Florian Klück, Lorenz Klampfl, F. Wotawa","doi":"10.1109/SBST52555.2021.00017","DOIUrl":null,"url":null,"abstract":"GABezier is a search-based tool for the automatic generation of challenging road networks for virtual testing of an automated lane keep system (ALKS). This paper provides a brief overview on the tool and summarizes the results of GABezier's participation at the first edition of the Cyber-Physical Systems Testing Tool Competition. We submitted our tool in two configurations, namely GABExplore and GABExploit. Especially the latter configuration has efficiently generated valid test cases and triggered many faults.","PeriodicalId":199085,"journal":{"name":"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"GABezier at the SBST 2021 Tool Competition\",\"authors\":\"Florian Klück, Lorenz Klampfl, F. Wotawa\",\"doi\":\"10.1109/SBST52555.2021.00017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GABezier is a search-based tool for the automatic generation of challenging road networks for virtual testing of an automated lane keep system (ALKS). This paper provides a brief overview on the tool and summarizes the results of GABezier's participation at the first edition of the Cyber-Physical Systems Testing Tool Competition. We submitted our tool in two configurations, namely GABExplore and GABExploit. Especially the latter configuration has efficiently generated valid test cases and triggered many faults.\",\"PeriodicalId\":199085,\"journal\":{\"name\":\"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBST52555.2021.00017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBST52555.2021.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

GABezier是一个基于搜索的工具，用于自动生成具有挑战性的道路网络，用于自动车道保持系统(ALKS)的虚拟测试。本文简要概述了该工具，并总结了GABezier参加第一届网络物理系统测试工具竞赛的结果。我们以两种配置提交了我们的工具，即GABExplore和GABExploit。特别是后一种配置有效地生成了有效的测试用例，并触发了许多错误。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

GABezier at the SBST 2021 Tool Competition

GABezier is a search-based tool for the automatic generation of challenging road networks for virtual testing of an automated lane keep system (ALKS). This paper provides a brief overview on the tool and summarizes the results of GABezier's participation at the first edition of the Cyber-Physical Systems Testing Tool Competition. We submitted our tool in two configurations, namely GABExplore and GABExploit. Especially the latter configuration has efficiently generated valid test cases and triggered many faults.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)

自引率

0.00%

发文量