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To What Extent Is Stress Testing of Android TV Applications Automated in Industrial Environments?

机译:android TV应用程序压力测试的自动化程度   工业环境?

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摘要

An Android-based smart Television (TV) must reliably run its applications inan embedded program environment under diverse hardware resource conditions.Owing to the diverse hardware components used to build numerous TV models, TVsimulators are usually not high enough in fidelity to simulate various TVmodels, and thus are only regarded as unreliable alternatives when stresstesting such applications. Therefore, even though stress testing on real TVsets is tedious, it is the de facto approach to ensure the reliability of theseapplications in the industry. In this paper, we study to what extent stresstesting of smart TV applications can be fully automated in the industrialenvironments. To the best of our knowledge, no previous work has addressed thisimportant question. We summarize the find-ings collected from 10 industrialtest engineers to have tested 20 such TV applications in a real productionenvironment. Our study shows that the industry required test automationsupports on high-level GUI object controls and status checking, setup ofresource conditions and the interplay between the two. With such supports, 87%of the industrial test specifications of one TV model can be fully automatedand 71.4% of them were found to be fully reusable to test a subsequent TV modelwith major up-grades of hardware, operating system and application. Itrepre-sents a significant improvement with margins of 28% and 38%,respectively, compared to stress testing without such supports.
机译:基于Android的智能电视(TV)必须在各种硬件资源条件下在嵌入式程序环境中可靠地运行其应用程序。由于用于构建众多电视模型的硬件组件不同,TVsimulator的保真度通常不足以模拟各种TVmodel,因此,仅在对此类应用程序进行压力测试时才被视为不可靠的替代方案。因此,即使在真实电视机上进行压力测试是乏味的,但这也是确保行业中这些应用程序可靠性的事实上的方法。在本文中,我们研究了在工业环境中智能电视应用的压力测试在多大程度上可以完全自动化。据我们所知,以前没有工作解决这个重要问题。我们总结了从10名工业测试工程师那里收集的发现,以在真实的生产环境中测试了20种此类电视应用程序。我们的研究表明,业界需要的测试自动化支持高级GUI对象控制和状态检查,资源条件的设置以及两者之间的相互作用。有了这样的支持,一种电视型号的87%的工业测试规格就可以完全自动化,并且发现其中71.4%可以完全重用,以测试具有较大硬件,操作系统和应用程序升级的后续电视型号。与没有这种支撑的压力测试相比,它的利润率有了显着提高,分别为28%和38%。

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