A Differential Testing Framework to Identify Critical AV Failures Leveraging Arbitrary Inputs

The proliferation of autonomous vehicles (AVs) has made their failures increasingly evident. Testing efforts aimed at identifying the inputs leading to those failures are challenged by the input's long-tail distribution, whose area under the curve is dominated by rare scenarios. We hypothesize...

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Vydané v:	Proceedings / International Conference on Software Engineering s. 360 - 372
Hlavní autori:	Woodlief, Trey, Hildebrandt, Carl, Elbaum, Sebastian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.04.2025
Predmet:	autonomous system validation Autonomous vehicles differential testing Heavily-tailed distribution Measurement Needles Refining Safety Sequential analysis Software engineering Statistical analysis Testing
ISSN:	1558-1225
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