TestFul: Java的进化测试方法

L. Baresi, P. Lanzi, Matteo Miraz
{"title":"TestFul: Java的进化测试方法","authors":"L. Baresi, P. Lanzi, Matteo Miraz","doi":"10.1109/ICST.2010.54","DOIUrl":null,"url":null,"abstract":"This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary algorithm to identify the “best” tests. The paper introduces the main elements of TestFul. It also compares TestFul against well-known search-based solutions using a set of classes taken from literature, known software libraries, and independent testing benchmarks. The comparison considers statement and branch coverage, size of generated tests, and generation time. On considered classes, TestFul generates better tests than other search-based solutions, and achieves higher structural coverages with tests small enough to be usable.","PeriodicalId":192678,"journal":{"name":"2010 Third International Conference on Software Testing, Verification and Validation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"80","resultStr":"{\"title\":\"TestFul: An Evolutionary Test Approach for Java\",\"authors\":\"L. Baresi, P. Lanzi, Matteo Miraz\",\"doi\":\"10.1109/ICST.2010.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary algorithm to identify the “best” tests. The paper introduces the main elements of TestFul. It also compares TestFul against well-known search-based solutions using a set of classes taken from literature, known software libraries, and independent testing benchmarks. The comparison considers statement and branch coverage, size of generated tests, and generation time. On considered classes, TestFul generates better tests than other search-based solutions, and achieves higher structural coverages with tests small enough to be usable.\",\"PeriodicalId\":192678,\"journal\":{\"name\":\"2010 Third International Conference on Software Testing, Verification and Validation\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"80\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Conference on Software Testing, Verification and Validation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICST.2010.54\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Conference on Software Testing, Verification and Validation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST.2010.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 80

摘要

本文介绍了TestFul,这是一种在类和方法级别上工作的Java类的进化测试方法。TestFul利用多目标进化算法来识别“最佳”测试。本文介绍了TestFul的主要组成部分。它还使用一组取自文献、已知软件库和独立测试基准的类,将TestFul与知名的基于搜索的解决方案进行比较。比较考虑语句和分支覆盖率、生成测试的大小以及生成时间。在考虑过的类上,TestFul生成的测试比其他基于搜索的解决方案更好,并且使用小到可以使用的测试实现更高的结构覆盖率。
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
TestFul: An Evolutionary Test Approach for Java
This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary algorithm to identify the “best” tests. The paper introduces the main elements of TestFul. It also compares TestFul against well-known search-based solutions using a set of classes taken from literature, known software libraries, and independent testing benchmarks. The comparison considers statement and branch coverage, size of generated tests, and generation time. On considered classes, TestFul generates better tests than other search-based solutions, and achieves higher structural coverages with tests small enough to be usable.
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
Using Mutation to Automatically Suggest Fixes for Faulty Programs Holistic Model-Based Testing for Business Information Systems Prioritizing State-Based Aspect Tests Towards Automated, Formal Verification of Model Transformations (Un-)Covering Equivalent Mutants
×
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