Mutation Testing for Physical Computing

Qianqian Zhu, A. Zaidman
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引用次数: 1

Abstract

Physical computing, which builds interactive systems between the physical world and computers, has been widely used in a wide variety of domains and applications, e.g., the Internet of Things (IoT). Although physical computing has witnessed enormous realisations, testing these physical computing systems still face many challenges, such as potential circuit related bugs which are not part of the software problems, the timing issue which decreasing the testability, etc.; therefore, we proposed a mutation testing approach for physical computing systems to enable engineers to judge the quality of their tests in a more accurate way. The main focus is the communication between the software and peripherals. More particular, we first defined a set of mutation operators based on the common communication errors between the software and peripherals that could happen in the software. We conducted a preliminary experiment on nine physical computing projects based on the Raspberry Pi and Arduino platforms. The results show that our mutation testing method can assess the test suite quality effectively in terms of weakness and inadequacy.
物理计算的突变测试
物理计算建立了物理世界和计算机之间的交互系统,已广泛应用于各种领域和应用,例如物联网(IoT)。虽然物理计算已经见证了巨大的实现,但测试这些物理计算系统仍然面临许多挑战,例如潜在的电路相关错误,这些错误不是软件问题的一部分,时间问题降低了可测试性等;因此,我们提出了一种物理计算系统的突变测试方法,使工程师能够更准确地判断其测试的质量。主要的焦点是软件和外设之间的通信。更具体地说,我们首先根据软件和外围设备之间可能发生的常见通信错误定义了一组突变操作符。我们在基于Raspberry Pi和Arduino平台的9个物理计算项目上进行了初步实验。结果表明,我们的突变测试方法可以有效地评估测试套件的弱点和不足之处。
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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