Android应用中图像显示的自动性能测试

Wenjie Li, Yanyan Jiang, Jun Ma, Chang Xu
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引用次数: 1

摘要

Android应用程序中的图像显示是资源密集型的。不正确显示的图像会导致性能下降,甚至更严重的后果,如应用程序崩溃。现有的静态性能反模式检查器是保守的,仅限于一小部分错误。本文介绍了ImMut,这是Android应用程序中图像显示性能测试的第一个测试增强方法,以补充这些静态检查器。给定一个功能测试用例,ImMut通过(1)注入带有大图像的外部源图像或(2)复制粘贴可重复的片段并稍微改变副本以显示许多(可能不同的)图像,将其突变为性能测试用例。对我们的原型实现的评估显示了令人鼓舞的结果,ImMut揭示了14个以前未知的性能错误,这些错误超出了最先进的静态检查器的能力。
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Automatic Performance Testing for Image Displaying in Android Apps
Image displaying in Android apps is resource-intensive. Improperly displayed images result in performance degradation or even more severe consequences like app crashes. Existing static performance anti-pattern checkers are conservative and limited to a small set of bugs. This paper presents ImMut, the first test augmentation approach to performance testing for image displaying in Android apps to complement these static checkers. Given a functional test case, ImMut mutates it towards a performance test case by either (1) injecting external-source images with large ones or (2) copy-pasting a repeatable fragment and slightly mutating the copies to display many (potentially distinct) images. Evaluation on our prototype implementation showed promising results that ImMut revealed 14 previously unknown performance bugs that are beyond the capability of state-of-the-art static checkers.
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