Khaerunnisa Khaerunnisa, N. Selviandro, Rosa Reska Riskiana
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引用次数: 0
摘要
自动化测试更加有效和准确,与手工测试相比,脚本更容易记录和更新。测试网站可能需要时间和精力来学习要使用的工具。根据Stack Overflow和GitHub, Cucumber和Robot Framework是众所周知的开源框架。Cucumber和Robot Framework在国际上都很有名,尤其是Robot Framework,经常被大公司使用。它们都使用Java和Python语言,这两种语言都支持BDD。这两种工具的比较工作旨在帮助测试人员根据工具的有效性和效率来比较和确定BisOps Logee Port Web Admin案例研究中的自动化测试工具,并创建特定的测试用例作为测试文档,以便测试人员不需要花费时间分析这两种工具。由于本研究涉及评估和比较,因此选择了几个标准来支持评估过程,即功能、可靠性、可用性、性能效率和可移植性。这项研究的结果表明,这两种工具都可以推荐给想要通过实现BDD来学习自动化基础知识的QA新手。同时,对于以前做过自动化的QA,想要做更深入的配置和报告,建议使用Robot Framework,因为它的语法很短,有很多关键字,使测试人员更容易使用,并且可以使测试系统更短但更具体。
Comparative Study of Robot Framework and Cucumber as BDD Automated Testing Tools
Automation testing is much more efficient and accurate, the script is easy to document, and update compared to manual testing. Testing a website may necessitate time and effort to learn the tools to be used. Cucumber and Robot Framework are well-known open-source frameworks, according to Stack Overflow and GitHub. Cucumber and Robot Framework are known on an international scale, especially Robot Framework, which is often used by large companies. Each uses the Java and Python languages, which both support BDD. The comparative efforts of the two tools aim to help testers compare and determine automated testing tools in the BisOps Logee Port Web Admin case study based on the effectiveness and efficiency of the tools and create specific test cases as test documentation so that testers do not need to spend time analyzing both. Because this research involves evaluation and comparison, several criteria were chosen to support the evaluation process, namely functionality, reliability, usability, performance efficiency, and portability. The results of this study show that both tools can be recommended for novice QA's who want to learn the basics of automation by implementing BDD. Meanwhile, for QA's who have done automation before and want to do more in-depth configuration and reporting, it is recommended to use Robot Framework because the syntax is short, has lots of keywords that make it easier for testers, and can make the testing system shorter but more specific.