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Reproducible Interference-Aware Mobile Testing

机译:可重复的干扰感知移动测试

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摘要

Mobile apps are born to work in an environment with ever-changing network connectivity, random hardware interruption, unanticipated task switches, etc. However, such interference cases are often oblivious in traditional mobile testing but happen frequently and sophisticatedly in the field, causing various robustness, responsiveness and consistency problems. In this paper, we propose JazzDroid to introduce interference to mobile testing. JazzDroid adopts a gray-box approach to instrument apps at binary level such that interference logic is inlined with app execution and can be triggered to effectively affect normal execution. Then, JazzDroid repeatedly orchestrates the instrumented app through app developers' existing tests and continuously randomizes interference on the fly to reveal possible faulty executions. Upon discovering problems, JazzDroid generates a test script with the user inputs from developers' tests and the interference injected for developers to reproduce the problems. At a high level, JazzDroid can be seamlessly integrated into app developers' testing procedures, detecting more problems from existing tests. We implement JazzDroid to function on unmodified apps directly from app markets and interface with de facto industrial testing toolchain. JazzDroid improves mobile testing by discovering 6x more problems, including crashes, functional bugs, UI consistency issues and common bug patterns that fail numerous apps.
机译:移动应用程序出生于在具有变化的网络连接,随机硬件中断,意外的任务交换机等环境中工作,但是,这种干扰案例通常在传统的移动测试中忘记,但在现场经常和复杂地发生,导致各种鲁棒性,响应能力和一致性问题。在本文中,我们提出了jazzdroid来引入对移动测试的干扰。 Jazzdroid采用灰盒方法在二进制级别的仪器应用程序,使得干扰逻辑与应用程序执行相关,可以触发以有效地影响正常执行。然后,Jazzdroid通过应用程序开发人员的现有测试重复策划仪器化应用程序,并连续随机随机化干扰,揭示可能的错误执行。在发现问题时,Jazzdroid使用开发人员测试的用户输入生成测试脚本,并且为开发人员注入的干扰来重现问题。在高水平,jazzdroid可以无缝集成到应用程序开发人员的测试程序中,检测来自现有测试的更多问题。我们在App Markets和Winters与De Facto Industrial Treation Toolchain中实现Jazzdroid在未修改的应用程序上运行。 jazzdroid通过发现更多问题,包括崩溃,功能错误,UI一致性问题以及失败众多应用程序的常见错误模式来提高移动测试。

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