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A Concurrent Approach for Improving the Efficiency of Android CTS Testing

机译:提高Android CTS测试效率的并行方法

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The Compatibility Test Suite (CTS) is provided by Google to help manufactures to ensure if their Android devices are in compliance with the Android compatibility standards. However, the CTS contains a huge number of test cases and it usually would take several hours to complete the CTS tests. This could seriously affect the development schedule of Android devices, especially when the CTS test is included in the daily system integration. To reduce the time to perform CTS tests and shorten the time-to-market of Android devices, this paper presents an approach for improving the CTS test efficiency. Particularly, the CTS test is decomposed into multiple tasks to be executed on different devices concurrently. In addition, the task scheduling and partitioning methods are considered in the approach. A cloud-based testing platform is developed to support the proposed approach. The experimental results show that the efficiency of CTS test can be much improved as the number of devices increases. Moreover, the results also indicate that the Longest Job First (LJF) scheduling and mixed partitioning methods can result in better test efficiency.
机译:Google提供的兼容性测试套件(CTS)可帮助制造商确保其Android设备是否符合Android兼容性标准。但是,CTS包含大量测试用例,通常需要几个小时才能完成CTS测试。这可能会严重影响Android设备的开发进度,尤其是在日常系统集成中包含CTS测试时。为了减少执行CTS测试的时间并缩短Android设备的上市时间,本文提出了一种提高CTS测试效率的方法。特别地,CTS测试被分解为多个任务,以同时在不同设备上执行。另外,该方法考虑了任务调度和分区方法。开发了基于云的测试平台以支持所提出的方法。实验结果表明,随着设备数量的增加,CTS测试的效率可以大大提高。此外,结果还表明最长作业优先(LJF)调度和混合分区方法可以提高测试效率。

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