用户引导自动化测试移动应用程序

Xiujiang Li, Yanyan Jiang, Yepang Liu, Chang Xu, Xiaoxing Ma, Jian Lu
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引用次数: 26

摘要

移动设备正逐渐取代传统电脑在人类生活中的主导地位。随着在这些设备上运行的移动应用数量的不断增加,它们的质量问题成为了一个严峻的挑战。尽管自动化测试技术正在被广泛研究,但它们大多无法处理移动应用程序的复杂交互,例如手指滑动或设备晃动手势,导致测试不足。在本文中,我们提出了一种新的用户引导自动化(UGA)技术来解决这种复杂交互所带来的测试挑战。UGA利用用户洞察力来补充自动化测试技术,通过记录用户引导的应用程序执行,重放应用程序到某些停止点,并从这些停止点系统地探索状态空间。我们将我们的工作作为Android平台上的原型UGA工具执行,并在7个真实的Android应用中进行评估。评估结果表明,UGA在测试移动应用程序的方法覆盖率方面比最先进的自动化技术提高了1.59-21.78倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User Guided Automation for Testing Mobile Apps
Mobile devices are gradually taking over traditional computers' dominance in human lives. With the ever-increasing shipment of mobile apps running on these devices, their quality issues become a severe challenge. Although automated testing techniques are being widely studied, they mostly fall short of handling mobile apps' complex interactions, e.g., A finger swipe or device shaking gesture, leading to inadequate testing. In this paper, we present a novel User Guided Automation (UGA) technique to address testing challenges incurred by such complex interactions. UGA exploits user insights to complement automated testing techniques by recording user-guided app executions, replaying apps to certain stop points, and systematically exploring state space from these stop points. We implemented our work as a prototype UGA tool on Android platform and evaluated it on seven real-world Android apps. Evaluation results show that UGA achieved 1.59-21.78× improvement in terms of method coverage over state-of-the-art automated techniques in testing mobile apps.
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