http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Gangadharan_2020aGangadharan 2020a - Revision history2026-05-11T03:47:52ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Gangadharan_2020a&diff=188374&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 149095031 to Gangadharan 2020a2021-01-26T12:21:13Z<p>Scipediacontent moved page <a href="/public/Draft_Content_149095031" class="mw-redirect" title="Draft Content 149095031">Draft Content 149095031</a> to <a href="/public/Gangadharan_2020a" title="Gangadharan 2020a">Gangadharan 2020a</a></p>
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</td></tr></table>Scipediacontenthttp://www.colloquiam.com/wd/index.php?title=Gangadharan_2020a&diff=188373&oldid=prevScipediacontent: Created page with " == Abstract == Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The veh..."2021-01-26T12:21:09Z<p>Created page with " == Abstract == Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The veh..."</p>
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== Abstract ==<br />
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Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The vehicles in the future will have the functionality to manage different levels of automation, which also means that vehicles driven by humans will have more supportive functionality to increase safety and avoid accidents. These functionalities result in a massive growth in the number of test scenarios to indicate that the vehicles are safe, and this makes it impossible to continue performing the tests in the same way as it has been done until today. The new conditions require that the test scenarios and Test Cases both be generated and executed automatically. In this thesis, an investigation and evaluation are performed to analyze the Automatic Test Case Generation methods available for inputs from Natural Language Requirements in an automotive industrial context at NEVS AB. This study aims to evaluate the NAT2TEST strategy by replacing the manual method and obtain a similar or better result. A comparative analysis is performed between the manual and automated approaches for various levels of requirements. The results show that utilizing this strategy in an industrial scenario can improve efficiency if the requirements to be tested are for well-documented lower-level requirements.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419583 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419583]</div>Scipediacontent