Published February 20, 2023
| Version 2023.02.20
Software
Open
DoppelTest
Authors/Creators
- 1. University of California, Irvine
- 2. VNU University of Engineering and Technology
Description
DoppelTest is a Python framework implemented to evaluate a novel autonomous driving software (ADS) testing approach discussed in the paper titled Doppelganger Test Generation for Revealing Bugs in Autonomous Driving Software. This research artifact implements a framework that orchestrates multiple instances of the same ADS and generates virtual scenarios with those instances. Since all vehicles in the virtual scenario are controlled by different instances of the ADS under test, any actual violation that occurs by or among them inherently reveals ADS misbehavior, thus revealing ADS bugs.
Notes
Funding: NSF-1823262, NSF-1929771, NSF-1932464, NSF-2145493
Files
DoppelTest-2023.02.20.zip
Files
(143.4 MB)
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