EvoSuiteDSE在SBST 2021工具竞赛中的表现

Ignacio Manuel Lebrero Rial, Juan P. Galeotti
{"title":"EvoSuiteDSE在SBST 2021工具竞赛中的表现","authors":"Ignacio Manuel Lebrero Rial, Juan P. Galeotti","doi":"10.1109/SBST52555.2021.00013","DOIUrl":null,"url":null,"abstract":"EvoSuite is a search-based tool with a dynamic symbolic execution module (EvosuiteDSE) that automatically generates executable unit tests for java code (JUnit tests). This paper summarizes the results and experiences of EvoSuiteDSE's participation at the ninth unit testing competition at SBST 2021, where EvoSuiteDSE achieve an overall score of 47.14 in its first participation on the competition.","PeriodicalId":199085,"journal":{"name":"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"EvoSuiteDSE at the SBST 2021 Tool Competition\",\"authors\":\"Ignacio Manuel Lebrero Rial, Juan P. Galeotti\",\"doi\":\"10.1109/SBST52555.2021.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"EvoSuite is a search-based tool with a dynamic symbolic execution module (EvosuiteDSE) that automatically generates executable unit tests for java code (JUnit tests). This paper summarizes the results and experiences of EvoSuiteDSE's participation at the ninth unit testing competition at SBST 2021, where EvoSuiteDSE achieve an overall score of 47.14 in its first participation on the competition.\",\"PeriodicalId\":199085,\"journal\":{\"name\":\"2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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/SBST52555.2021.00013\",\"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/SBST52555.2021.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

EvoSuite是一个基于搜索的工具,带有动态符号执行模块(EvosuiteDSE),可以自动生成java代码的可执行单元测试(JUnit测试)。本文总结了EvoSuiteDSE参加SBST 2021第九届单元测试比赛的结果和经验,EvoSuiteDSE首次参加比赛,获得了47.14分的总分。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
EvoSuiteDSE at the SBST 2021 Tool Competition
EvoSuite is a search-based tool with a dynamic symbolic execution module (EvosuiteDSE) that automatically generates executable unit tests for java code (JUnit tests). This paper summarizes the results and experiences of EvoSuiteDSE's participation at the ninth unit testing competition at SBST 2021, where EvoSuiteDSE achieve an overall score of 47.14 in its first participation on the competition.
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
自引率
0.00%
发文量
0
期刊最新文献
Evosuite at the SBST 2021 Tool Competition Augmenting Search-based Techniques with Static Synthesis-based Input Generation Beacon: Automated Test Generation for Stack-Trace Reproduction using Genetic Algorithms Frenetic at the SBST 2021 Tool Competition Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1