RESTest: automated black-box testing of RESTful web APIs

Alberto Martin-Lopez, Sergio Segura, Antonio Ruiz-Cortés
{"title":"RESTest: automated black-box testing of RESTful web APIs","authors":"Alberto Martin-Lopez, Sergio Segura, Antonio Ruiz-Cortés","doi":"10.1145/3460319.3469082","DOIUrl":null,"url":null,"abstract":"Testing RESTful APIs thoroughly is critical due to their key role in software integration. Existing tools for the automated generation of test cases in this domain have shown great promise, but their applicability is limited as they mostly rely on random inputs, i.e., fuzzing. In this paper, we present RESTest, an open source black-box testing framework for RESTful web APIs. Based on the API specification, RESTest supports the generation of test cases using different testing techniques such as fuzzing and constraint-based testing, among others. RESTest is developed as a framework and can be easily extended with new test case generators and test writers for different programming languages. We evaluate the tool in two scenarios: offline and online testing. In the former, we show how RESTest can efficiently generate realistic test cases (test inputs and test oracles) that uncover bugs in real-world APIs. In the latter, we show RESTest's capabilities as a continuous testing and monitoring framework. Demo video: https://youtu.be/1f_tjdkaCKo.","PeriodicalId":188008,"journal":{"name":"Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460319.3469082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 32

Abstract

Testing RESTful APIs thoroughly is critical due to their key role in software integration. Existing tools for the automated generation of test cases in this domain have shown great promise, but their applicability is limited as they mostly rely on random inputs, i.e., fuzzing. In this paper, we present RESTest, an open source black-box testing framework for RESTful web APIs. Based on the API specification, RESTest supports the generation of test cases using different testing techniques such as fuzzing and constraint-based testing, among others. RESTest is developed as a framework and can be easily extended with new test case generators and test writers for different programming languages. We evaluate the tool in two scenarios: offline and online testing. In the former, we show how RESTest can efficiently generate realistic test cases (test inputs and test oracles) that uncover bugs in real-world APIs. In the latter, we show RESTest's capabilities as a continuous testing and monitoring framework. Demo video: https://youtu.be/1f_tjdkaCKo.
RESTest: RESTful web api的自动化黑盒测试
由于RESTful api在软件集成中的关键作用,彻底测试它们是至关重要的。在这个领域中,用于自动生成测试用例的现有工具已经显示出很大的希望,但是它们的适用性是有限的,因为它们主要依赖于随机输入,即模糊测试。在本文中,我们介绍了RESTest,一个用于RESTful web api的开源黑盒测试框架。基于API规范,rest支持使用不同的测试技术生成测试用例,例如模糊测试和基于约束的测试等。rest是作为一个框架开发的,并且可以很容易地使用针对不同编程语言的新测试用例生成器和测试编写器进行扩展。我们在两种情况下评估该工具:离线和在线测试。在前者中,我们展示了rest如何有效地生成真实的测试用例(测试输入和测试oracle),从而发现真实api中的bug。在后一篇文章中,我们展示了rest作为连续测试和监视框架的功能。演示视频:https://youtu.be/1f_tjdkaCKo。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信