Metamorphic Testing of Autonomous Vehicles: A Case Study on Simulink

P. Valle
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引用次数: 8

Abstract

Autonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV should definitely be considered when testing such systems. However, as in other complex systems, determining the outcome of a test in the driving quality on an AV can be extremely complex. To solve this issue, in this paper we explore the application of Quality-of-Service (QoS) aware metamorphic testing to test AVs modeled in MATLAB/Simulink, one of the predominant modeling tools in the market. We first defined a set of QoS measures applied to AVs by considering as input a recent study. With them, we define metamorphic relations. Lastly we assess the approach in an AV modeled in Simulink by using mutation testing. The results suggests that our approach is effective at detecting faults.
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自动驾驶汽车的变形测试:以Simulink为例
自动驾驶汽车(AVs)将彻底改变人们开车出行的方式。然而,为了部署自动驾驶汽车,需要有效的测试技术。在测试自动驾驶汽车系统时,一定要考虑到自动驾驶汽车的驾驶质量。然而,与其他复杂系统一样,确定自动驾驶汽车驾驶质量测试的结果可能极其复杂。为了解决这一问题,本文探索了服务质量感知(QoS)变形测试的应用,以测试在市场上主要的建模工具之一MATLAB/Simulink中建模的自动驾驶汽车。我们首先通过考虑最近的一项研究作为输入,定义了一组应用于自动驾驶汽车的QoS度量。利用它们,我们定义了变质关系。最后,我们通过使用突变测试在Simulink中建模的AV中评估了该方法。结果表明,我们的方法在检测故障方面是有效的。
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