Collaborative Research: SHF: Small: Reuse and Migration of GUI Tests

协作研究：SHF：小型：GUI 测试的重用和迁移

• 批准号: 2006278
• 负责人: Na Meng
• 金额: $ 25万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2006278&HistoricalAwards=false
• 关键词: Collaborative; Research; SHF; Small; Reuse

Software applications with Graphical User Interfaces (GUIs) have become essential in people's daily lives, and sufficient testing is a necessity to ensure their quality. When performed manually, GUI testing is a costly and tedious process requiring many human testers to explore the user interface and check whether the output is as expected. In contrast, existing automated testing techniques are less effective due to the lack of availability of domain knowledge that human testers typically possess. In this project, the investigators will explore the reuse and migration of manual GUI tests, an alternative route to complement existing automatic GUI testing research. The intuitive observation behind the project is that developers tend to use similar GUI designs in different platform versions of a same application or different applications within the same domain. Therefore, it is possible to reuse the exploration sequences, input values, and expected output with proper adaptations taking into account the subtle implementation differences between applications. The project is expected to enhance the coverage and productivity of GUI-testing processes, leading to GUI applications with higher quality and fewer defects. Additionally, the incorporated training and education activities will provide opportunities for participants to acquire research experience and become highly qualified researchers and practitioners. In this project, the PIs are going to answer the research question: whether and how existing GUI tests can be reused in automatic GUI testing with necessary adaptation. In particular, the investigators will work on the generation of GUI-code embeddings to represent the semantics of GUI views and develop novel GUI-view mapping techniques to map GUI views among different applications. The investigators will also study how input-value constraints and event-sequence constraints in existing GUI tests can be extracted as domain knowledge, how such knowledge can be translated across platform and application boundaries, as well as how the translated knowledge can be incorporated into the automatic GUI-test generation process of the target application. Moreover, the investigators will develop techniques to identify the potential reusability of existing test oracles based on measuring their fitness with the new context, and techniques to create new test oracles by summarizing common behaviors of software applications in the same domain. The findings of this project are intended to shed light on the more general problem of reusing and migrating any test cases such as unit tests and integration tests, as well as the solution to the open problem of creating meaningful test oracles.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

具有图形用户界面（GUI）的软件应用程序已成为人们日常生活中必不可少的部分，充分的测试是确保其质量的必要条件。当手动执行时，GUI测试是一个昂贵且繁琐的过程，需要许多测试人员探索用户界面并检查输出是否符合预期。相比之下，现有的自动化测试技术由于缺乏人类测试人员通常拥有的领域知识的可用性而不太有效。在这个项目中，研究人员将探索手动GUI测试的重用和迁移，这是一种补充现有自动GUI测试研究的替代途径。该项目背后的直观观察是，开发人员倾向于在同一应用程序的不同平台版本或同一域中的不同应用程序中使用类似的GUI设计。因此，考虑到应用程序之间细微的实现差异，可以通过适当的调整来重用探索序列、输入值和预期输出。预计该项目将提高GUI测试过程的覆盖面和生产率，从而使GUI应用程序具有更高的质量和更少的缺陷。此外，纳入的培训和教育活动将为参与者提供获得研究经验和成为高素质研究人员和从业人员的机会。在这个项目中，PI将回答研究问题：现有的GUI测试是否以及如何在自动GUI测试中进行必要的调整。特别是，研究人员将致力于生成GUI代码嵌入来表示GUI视图的语义，并开发新的GUI视图映射技术来映射不同应用程序之间的GUI视图。研究人员还将研究如何将现有GUI测试中的输入值约束和事件序列约束提取为领域知识，如何跨平台和应用程序边界翻译这些知识，以及如何将翻译后的知识纳入目标应用程序的自动GUI测试生成过程。此外，研究人员将开发技术，以确定现有的测试预言机的潜在可重用性的基础上测量他们的健身与新的上下文，和技术，以创建新的测试预言机通过总结软件应用程序在同一领域的共同行为。该项目的研究结果旨在揭示更普遍的问题，即重用和迁移任何测试用例，如单元测试和集成测试，以及解决创建有意义的测试神谕的开放问题。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

A Lightweight Approach of Human-Like Playtest for Android Apps

• DOI: 10.1109/saner53432.2022.00047
• 发表时间: 2022-03
• 期刊: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
• 作者: Yan Zhao;Enyi Tang;Haipeng Cai;Xi Guo;Xiaoyin Wang;Na Meng