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Atom-Task Precondition Technique to Optimize Large Scale GUI Testing Time based on Parallel Scheduling Algorithm

机译:基于并行调度算法的原子任务预处理技术优化大规模GUI测试时间

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The modern software development mostly aims to reduce a development time. The product time to market must be fast for quick gathering feedback from the user. DevOps brings the continuous practice to improve software development process on both continuous integration and continuous delivery. In continuous processes, software testing is the most time-consuming part which significant for overall process especially graphic user interface or GUI. Several techniques can reduce GUI testing time such as a distributed testing which is help UI testing running in parallel on a distributed machine. By running distributed GUI testing initially without experience or knowledge from an expert lead to the un-optimized speed of running test or even the future problem such as an unpredictable number of worker, the bottleneck of the worker node. This paper has purpose the Atom-Task precondition technique, the technique for filtering the test before running the parallel testing process to optimize the testing time and avoiding worker bottleneck problem and also remain an ability to scale the worker process for desired testing time with predictable resource for large-scale testing in the distributed environment.
机译:现代软件开发主要旨在减少开发时间。产品上市时间必须快速,以便快速收集用户反馈。 DevOps带来了持续实践,以在持续集成和持续交付方面改善软件开发过程。在连续过程中,软件测试是最耗时的部分,对于整个过程尤其是图形用户界面或GUI来说很重要。多种技术可以减少GUI测试时间,例如分布式测试,它是帮助UI测试在分布式计算机上并行运行的分布式测试。最初在没有专家经验或知识的情况下运行分布式GUI测试会导致运行测试的速度无法优化,甚至会导致未来的问题,例如无法预测的工作人员数量,工作人员节点的瓶颈。本文的目的是使用Atom-Task前提技术,该技术在运行并行测试过程之前对测试进行过滤以优化测试时间并避免出现工人瓶颈问题,并且还具有在可预测资源下按期望的测试时间扩展工作进程的能力。用于分布式环境中的大规模测试。

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