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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Khastgir_et_al_2018a</id>
		<title>Khastgir et al 2018a - Revision history</title>
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		<updated>2026-04-19T15:55:31Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 232614979 to Khastgir et al 2018a</title>
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		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_232614979&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 232614979&quot;&gt;Draft Content 232614979&lt;/a&gt; to &lt;a href=&quot;/public/Khastgir_et_al_2018a&quot; title=&quot;Khastgir et al 2018a&quot;&gt;Khastgir et al 2018a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 15:54, 3 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Khastgir_et_al_2018a&amp;diff=205062&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  Increasing automation in the automotive systems has re-focused the industry's attention on verification and validation methods and especially on the developme...&quot;</title>
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				<updated>2021-02-03T15:54:11Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  Increasing automation in the automotive systems has re-focused the industry&amp;#039;s attention on verification and validation methods and especially on the developme...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
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. \ud \ud 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. \ud \ud 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 &amp;quot;good&amp;quot; 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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://wrap.warwick.ac.uk/101944/1/WRAP-science-testing-automotive-perspective-Khastgir-2018.pdf http://wrap.warwick.ac.uk/101944/1/WRAP-science-testing-automotive-perspective-Khastgir-2018.pdf]&lt;br /&gt;
&lt;br /&gt;
* [https://www.sae.org/gsdownload/?prodCd=2018-01-1070 https://www.sae.org/gsdownload/?prodCd=2018-01-1070],&lt;br /&gt;
: [http://dx.doi.org/10.4271/2018-01-1070 http://dx.doi.org/10.4271/2018-01-1070]&lt;br /&gt;
&lt;br /&gt;
* [https://www.sae.org/publications/technical-papers/content/2018-01-1070 https://www.sae.org/publications/technical-papers/content/2018-01-1070],&lt;br /&gt;
: [http://wrap.warwick.ac.uk/101944 http://wrap.warwick.ac.uk/101944],&lt;br /&gt;
: [https://core.ac.uk/display/157620286 https://core.ac.uk/display/157620286],&lt;br /&gt;
: [https://pureportal.coventry.ac.uk/en/publications/the-science-of-testing-an-automotive-perspective https://pureportal.coventry.ac.uk/en/publications/the-science-of-testing-an-automotive-perspective],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2795807263 https://academic.microsoft.com/#/detail/2795807263]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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