SHF: Medium: Automated Graphical User Interface Testing with Learning

SHF：中：自动化图形用户界面测试与学习

• 批准号: 1409872
• 负责人: Koushik Sen
• 金额: $ 85万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1409872&HistoricalAwards=false
• 关键词: SHF; Medium; Automated; Graphical; User

Smartphones and tablets with rich graphical user interfaces (GUIs) arebecoming increasingly popular. Hundreds of thousands of specializedapplications, called apps, are already available for these mobileplatforms, and the number of newly released apps continues toincrease. The complexity of these apps lies often in the userinterface, with data processing either minor, or delegated to abackend component. A similar situation exists in applications usingthe software-as-a-service architecture, where the client-sidecomponent consists mostly of user interface code. Testing suchapplications predominantly involves GUI testing. Existing automatictechniques for testing these interfaces either require a priori modelsof the interface and are thus hard to use, or operate blindly bysending random user events to the application and are typically unableto test the application in satisfactory depth.This project investigates automatic GUI testing techniques thatsystematically explore the state space of an application withoutrequiring an a priori defined model. One insight behind this projectis that the automatic construction of a model of the user interfaceand the testing of the interface are tasks that can cooperate in amutually beneficial way. Furthermore, a guiding principle throughoutthis research is to design algorithms that operate with abstractionsand heuristics that are simple enough to be understood by humans whodo not necessarily understand the internals of the tested app. Suchalgorithms are easier to comprehend and to incorporate into awholistic test process that includes automated techniques, such as theones developed in this project, and manual testing and guidance. Thetechniques developed in this project benefit directly programmers forthese apps, and indirectly the numerous users of mobile and webapplications.

具有丰富图形用户界面（GUI）的智能手机和平板电脑越来越受欢迎。 这些MobilePlatForms已经可用数十万个称为应用程序的专用应用程序，并且新发布的应用程序的数量继续进行。 这些应用程序的复杂性通常位于用户接口中，数据处理次要或委派成组件。使用软件即服务体系结构的应用程序中也存在类似的情况，其中客户端式组件主要由用户界面代码组成。 测试此类应用主要涉及GUI测试。用于测试这些接口的现有自动化技术要么需要界面的先验模型，因此很难使用，或者通过将随机用户事件用于应用程序盲目操作，并且通常会以令人满意的深度来测试应用程序。该项目研究自动GUI测试技术，以探索适用于一位预先设置的应用程序的系统，以探索该应用程序的状态。 该项目背后的一个见解是，自动构建用户间交易模型的界面测试是可以以非常有益的方式合作的任务。此外，整个研究过程中的指导原则是设计具有抽象和启发式方法的算法，这些算法很简单，以至于人类不一定了解测试应用程序的内部内容。这样的Algorithms更容易理解，并将其纳入包括自动化技术（例如本项目中开发的Theones）以及手动测试和指导的令人难以置信的测试过程中。 该项目中开发的thetechniques直接受益于程序员，并间接地是移动和网络应用程序的众多用户。