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The Architecture of Parallelized Cloud-Based Automatic Testing System

机译:基于云的并行并行自动测试系统架构

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Software testing is the key of software quality control. However, software testing requires plenty of time, manpower and resources in hardware and software. Unfortunately, plenty of human errors may cause software testing become more difficult. To increase efficiency and reduce costs, automatic software testing is relatively important. It is possible to dynamically adjust the resources of hardware and software from the actual needs by introducing cloud technology. In this research, we proposed the paralleled cloud-based automatic testing system (PCATS) which have the advantages of real-time software testing and automatically computation scaling. PCATS can parallel the tests at the same time with distinct servers. The main contributions of this paper are automatically: (1) parse the source code to perform statistics analysis (2) generate test drivers and test cases (3) testing in virtual environments (4) paralleled testing (5) profile the consumed resources.
机译:软件测试是软件质量控制的关键。但是,软件测试需要大量的时间,人力和硬件资源。不幸的是,许多人为错误可能导致软件测试变得更加困难。为了提高效率和降低成本,自动软件测试相对重要。通过引入云技术,可以根据实际需求动态调整硬件和软件的资源。在这项研究中,我们提出了基于云的并行并行自动测试系统(PCATS),它具有实时软件测试和自动计算扩展的优势。 PCATS可以与不同的服务器同时并行进行测试。本文的主要贡献是自动完成的:(1)解析源代码以执行统计分析(2)生成测试驱动程序和测试用例(3)在虚拟环境中进行测试(4)并行测试(5)剖析消耗的资源。

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