An approach to apply Automated Acceptance Testing for Industrial Robotic Systems

M. G. D. Santos, Fábio Petrillo, Sylvain Hallé, Yann-Gaël Guéhéneuc
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Abstract

Industrial robotic systems (IRS) are systems composed of industrial robots that automate industrial processes. They execute repetitive tasks with high accuracy, replacing or supporting dangerous jobs. Consequently, a low failure rate is crucial in IRS. However, to the best of our knowledge, there is a lack of automated software testing for industrial robots. In this paper, we describe a test strategy implementation to apply BDD to automate acceptance testing for IRS.
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工业机器人系统自动化验收测试的应用方法
工业机器人系统(IRS)是由工业机器人组成的自动化工业过程的系统。它们以高精度执行重复性任务,取代或支持危险的工作。因此,低故障率对IRS至关重要。然而,据我们所知,目前还缺乏针对工业机器人的自动化软件测试。在本文中,我们描述了一个测试策略实现,将BDD应用于IRS的自动化验收测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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