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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Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 360 - 372
Main Authors:	Woodlief, Trey, Hildebrandt, Carl, Elbaum, Sebastian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.04.2025
Subjects:	autonomous system validation Autonomous vehicles differential testing Heavily-tailed distribution Measurement Needles Refining Safety Sequential analysis Software engineering Statistical analysis Testing
ISSN:	1558-1225
Online Access:	Get full text
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