关键词驱动测试套件的演变

Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach
{"title":"关键词驱动测试套件的演变","authors":"Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach","doi":"10.1109/ICST.2019.00040","DOIUrl":null,"url":null,"abstract":"Many companies rely on software testing to verify that their software products meet their requirements. However, test quality and, in particular, the quality of end-to-end testing is relatively hard to achieve. The problem becomes challenging when software evolves, as end-to-end test suites need to adapt and conform to the evolved software. Unfortunately, end-to-end tests are particularly fragile as any change in the application interface, e.g., application flow, location or name of graphical user interface elements, necessitates a change in the tests. This paper presents an industrial case study on the evolution of Keyword-Driven test suites, also known as Keyword-Driven Testing (KDT). Our aim is to demonstrate the problem of test maintenance, identify the benefits of Keyword-Driven Testing and overall improve the understanding of test code evolution (at the acceptance testing level). This information will support the development of automatic techniques, such as test refactoring and repair, and will motivate future research. To this end, we identify, collect and analyze test code changes across the evolution of industrial KDT test suites for a period of eight months. We show that the problem of test maintenance is largely due to test fragility (most commonly-performed changes are due to locator and synchronization issues) and test clones (over 30% of keywords are duplicated). We also show that the better test design of KDT test suites has the potential for drastically reducing (approximately 70%) the number of test code changes required to support software evolution. To further validate our results, we interview testers from BGL BNP Paribas and report their perceptions on the advantages and challenges of keyword-driven testing.","PeriodicalId":446827,"journal":{"name":"2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"On the Evolution of Keyword-Driven Test Suites\",\"authors\":\"Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach\",\"doi\":\"10.1109/ICST.2019.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many companies rely on software testing to verify that their software products meet their requirements. However, test quality and, in particular, the quality of end-to-end testing is relatively hard to achieve. The problem becomes challenging when software evolves, as end-to-end test suites need to adapt and conform to the evolved software. Unfortunately, end-to-end tests are particularly fragile as any change in the application interface, e.g., application flow, location or name of graphical user interface elements, necessitates a change in the tests. This paper presents an industrial case study on the evolution of Keyword-Driven test suites, also known as Keyword-Driven Testing (KDT). Our aim is to demonstrate the problem of test maintenance, identify the benefits of Keyword-Driven Testing and overall improve the understanding of test code evolution (at the acceptance testing level). This information will support the development of automatic techniques, such as test refactoring and repair, and will motivate future research. To this end, we identify, collect and analyze test code changes across the evolution of industrial KDT test suites for a period of eight months. We show that the problem of test maintenance is largely due to test fragility (most commonly-performed changes are due to locator and synchronization issues) and test clones (over 30% of keywords are duplicated). We also show that the better test design of KDT test suites has the potential for drastically reducing (approximately 70%) the number of test code changes required to support software evolution. To further validate our results, we interview testers from BGL BNP Paribas and report their perceptions on the advantages and challenges of keyword-driven testing.\",\"PeriodicalId\":446827,\"journal\":{\"name\":\"2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICST.2019.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST.2019.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

许多公司依靠软件测试来验证他们的软件产品是否满足他们的需求。然而,测试质量,特别是端到端测试的质量是相对难以实现的。当软件发展时,问题变得具有挑战性,因为端到端测试套件需要适应并遵循发展的软件。不幸的是,端到端测试特别脆弱,因为应用程序界面中的任何更改(例如,应用程序流、图形用户界面元素的位置或名称)都需要更改测试。本文介绍了一个关键字驱动测试套件(也称为关键字驱动测试(KDT))演进的工业案例研究。我们的目标是演示测试维护的问题,确定关键字驱动测试的好处,并全面提高对测试代码演进的理解(在验收测试级别)。这些信息将支持自动化技术的发展,例如测试重构和修复,并将激励未来的研究。为此,我们在8个月的时间里识别、收集和分析了工业KDT测试套件的演进过程中的测试代码变更。我们表明,测试维护的问题主要是由于测试的脆弱性(最常见的执行更改是由于定位器和同步问题)和测试克隆(超过30%的关键字是重复的)。我们还表明,KDT测试套件的更好的测试设计具有显著减少(大约70%)支持软件演进所需的测试代码更改数量的潜力。为了进一步验证我们的结果,我们采访了BGL BNP Paribas的测试人员,并报告了他们对关键字驱动测试的优势和挑战的看法。
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
On the Evolution of Keyword-Driven Test Suites
Many companies rely on software testing to verify that their software products meet their requirements. However, test quality and, in particular, the quality of end-to-end testing is relatively hard to achieve. The problem becomes challenging when software evolves, as end-to-end test suites need to adapt and conform to the evolved software. Unfortunately, end-to-end tests are particularly fragile as any change in the application interface, e.g., application flow, location or name of graphical user interface elements, necessitates a change in the tests. This paper presents an industrial case study on the evolution of Keyword-Driven test suites, also known as Keyword-Driven Testing (KDT). Our aim is to demonstrate the problem of test maintenance, identify the benefits of Keyword-Driven Testing and overall improve the understanding of test code evolution (at the acceptance testing level). This information will support the development of automatic techniques, such as test refactoring and repair, and will motivate future research. To this end, we identify, collect and analyze test code changes across the evolution of industrial KDT test suites for a period of eight months. We show that the problem of test maintenance is largely due to test fragility (most commonly-performed changes are due to locator and synchronization issues) and test clones (over 30% of keywords are duplicated). We also show that the better test design of KDT test suites has the potential for drastically reducing (approximately 70%) the number of test code changes required to support software evolution. To further validate our results, we interview testers from BGL BNP Paribas and report their perceptions on the advantages and challenges of keyword-driven testing.
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
Parallel Many-Objective Search for Unit Tests SeqFuzzer: An Industrial Protocol Fuzzing Framework from a Deep Learning Perspective Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks Automated Function Assessment in Driving Scenarios Techniques for Evolution-Aware Runtime Verification
×
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