The Science of Testing: An Automotive Perspective
The Science of Testing: An Automotive Perspective
复制标题
测试科学：汽车视角
DOI：
10.4271/2018-01-1070
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
P. Jennings
中科院分区：
文献类型：
--
作者：
S. Khastgir;S. Birrell;G. Dhadyalla;P. Jennings
汽车系统自动化程度的提高使行业重新关注验证和确认方法，特别是测试场景的开发。高级驾驶员辅助系统（ADAS）和自动驾驶（AD）系统的复杂性保证了采用新的创新方法来评估和建立此类系统的安全性。在本文中，作者讨论了半结构化访谈研究的结果，该研究涉及采访整个行业供应链的ADAS和AD专家。
来自不同国家的18位专家（每一位都有10年以上的汽车系统测试和开发经验）就两个主题进行了访谈：测试方法和测试场景。每个主题都有三个指导性问题，这些问题还有一些后续问题。对访谈进行了转录，并通过编码对记录进行了专题分析。一个两阶段的编码分析过程是首先确定代码从成绩单，随后，代码被分为几类。
对关于测试方法领域最大挑战的问题的成绩单进行的分析揭示了两个具体主题。首先是通过/失败标准的定义，其次是需求的质量（完整性和一致性）。对测试情景问题的分析表明，“良好”情景是能够测试安全目标和系统可能失败的方式的情景。在分析测试结果的基础上，提出了两种针对ADAS和AD系统的测试方法：基于规则的测试（传统方法）和基于危害的测试。所提出的方法不仅生成测试场景，用于测试系统如何工作，而且还可以测试系统如何失败。
Increasing automation in the automotive systems has re-focused the industry's attention on verification and validation methods and especially on the development of test scenarios. The complex nature of Advanced Driver Assistance Systems (ADASs) and Automated Driving (AD) systems warrant the adoption of new and innovative means of evaluating and establishing the safety of such systems. In this paper, the authors discuss the results from a semi-structured interview study, which involved interviewing ADAS and AD experts across the industry supply chain.
Eighteen experts (each with over 10 years' of experience in testing and development of automotive systems) from different countries were interviewed on two themes: test methods and test scenarios. Each of the themes had three guiding questions which had some follow-up questions. The interviews were transcribed and a thematic analysis via coding was conducted on the transcripts. A two-stage coding analysis process was done to first identify codes from the transcripts and subsequently, the codes were grouped into categories.
The analysis of transcripts for the question about the biggest challenge in the area of test methods revealed two specific themes. Firstly, the definition of pass/fail criteria and secondly the quality of requirements (completeness and consistency). The analysis of the questions on test scenarios revealed that "good" scenario is one that is able to test a safety goal and ways in which a system may fail. Based on the analysis of the transcripts, the authors propose two types of testing for ADAS and AD systems: Requirements-Based Testing (traditional method) and Hazard Based Testing. The proposed approach not only generates test scenarios for testing how the system works, but also how the system may fail.
DOI：
10.1016/j.trc.2018.07.001
发表时间：
2018-11-01
影响因子：
8.3
作者：
Khastgir, Siddartha;Birrell, Stewart;Jennings, Paul
通讯作者：
Jennings, Paul
DOI：
--
发表时间：
2011
期刊：
--
影响因子：
--
作者：
C. Robson
通讯作者：
C. Robson