测试 React Native 移动应用程序:剪枝图形用户界面模型方法

Rand Marwan Khalil Ibrahim, Samer Zein
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引用次数: 0

摘要

:移动应用程序市场仍在持续增长。人们正在向智能手机移动设备迁移,以便在工作、娱乐和与他人交流时完成日常活动。从开发人员的角度来看,开发和测试移动应用程序有各种各样的平台、技术和架构可供选择。然而,由于软件应用程序的不断变化和技术的巨大发展,开发人员必须加快开发进程,以满足客户的需求,并在短时间内提供强大的应用程序。跨平台移动应用开发技术(如 react Native)旨在克服这些困难,不再为每个平台构建单独的应用程序,而是开发可在多个平台上运行的单一代码库,从而加快开发进程。基于模型的测试是用于测试跨平台应用程序并识别和发现缺陷和错误的技术之一。本研究提出了一种 React Native 抽象语法树剪枝(RN-AST pruning)框架,旨在通过剪枝应用程序的原始图形用户界面模型,减少测试用例的数量,只保留覆盖内部代码变更影响区域的测试用例,从而促进移动应用程序的测试过程。保留图形用户界面元素的剪枝过程应用于抽象语法树,而抽象语法树是对最后两个版本的源代码进行静态分析的结果。之后,将对两个经过剪枝的 AST 进行比较,以便只保留受影响和已更新的图形用户界面元素。受影响的文件将被列为路径,以防止任何其他文件被测试,从而减少测试用例的数量。据我们所知,目前还没有任何全面的工作致力于使用静态分析方法,在跨平台软件中只保留受内部代码变更影响的图形用户界面元素,从而减少运行测试用例,并通过加快开发生命周期来提高生产率。在跨平台开发的六名开发人员和测试工程师的帮助下,对我们的框架进行了初步实验。实验是在一个概念验证移动应用程序上以清晰的步骤系统地进行的。结果表明,RN-AST 修剪框架非常有用,它为测试工程师提供了需要测试的受影响文件和路径,从而减少了测试用例,最大限度地减少了测试时间和工作量。此外,它还能准确识别每个文件中发生的更改,并根据源代码原始版本和更新版本之间的差异将其分为更新、放置和删除。作者确认本研究为原创,其内容未公开发表。此外,未收到任何资助机构的具体资助。
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Testing React Native Mobile Apps: Pruning GUI Model Approach
: The mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the great technological development, developers are supposed to speed up the development process to satisfy the customer's needs and provide robust applications within a short period of time. Cross-platform mobile app development technology, such as react Native, aims to overcome these difficulties, where instead of building separate applications for each platform, a single code base that can be run on multiple platforms is developed, which accelerates the development process. Model-based testing is one of the techniques that are used to test cross-platform applications and identify and find defects and bugs. This study proposes a React Native Abstract Syntax Tree pruning (RN-AST pruning) framework, which aims to facilitate the mobile app testing process by pruning the original GUI model of the application and reducing the number of test cases by keeping only the test cases that cover the impacted regions from internal code changes. The pruning process to keep the GUI elements is applied to the abstract syntax tree, which is the result of doing the static analysis on the last two versions of the source code. After that the two pruned AST will be compared to keep only the affected and updated GUI elements. The affected files will be listed as paths to prevent any other file from being tested, consequently reducing the number of test cases. According to our knowledge, no comprehensive work was dedicated to use the static analysis approach in keeping only the impacted GUI elements by the internal code changes in cross-platform software, thus reducing the run test cases and increasing productivity by accelerating the development life cycle. Preliminary experimentation was done on our framework with the help of six developers and test engineers in cross-platform development. The experiment was carried out in a systematic process with clear steps on a proof of concept mobile application. Results show that the RN-AST Pruning framework is useful and provides test engineers with affected files and paths that need to be tested, thus reducing the test cases and minimizing the testing time and effort. Moreover, it identifies exactly the changes that occurred in each file and categorizes them into updates, placements, and deletions based on the differences between the original version and the updated version of the source code. The authors confirm that this study is original and its contents are unpublished. Moreover, no specific grant from any funding agency was received.
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来源期刊
Journal of Computer Science
Journal of Computer Science Computer Science-Computer Networks and Communications
CiteScore
1.70
自引率
0.00%
发文量
92
期刊介绍: Journal of Computer Science is aimed to publish research articles on theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. JCS updated twelve times a year and is a peer reviewed journal covers the latest and most compelling research of the time.
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