Reinforcement Learning-Based Fuzz Testing for the Gazebo Robotic Simulator

Gazebo, being the most widely utilized simulator in robotics, plays a pivotal role in developing and testing robotic systems. Given its impact on the safety and reliability of robotic operations, early bug detection is critical. However, due to the challenges of strict input structures and vast stat...

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Veröffentlicht in:	Proceedings of the ACM on software engineering Jg. 2; H. ISSTA; S. 1467 - 1488
Hauptverfasser:	Ren, Zhilei, Li, Yitao, Li, Xiaochen, Qi, Guanxiao, Xuan, Jifeng, Jiang, He
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 22.06.2025
Schlagworte:	Software and its engineering Software testing and debugging Fuzz Testing Gazebo Robotic Simulator Software Testing
ISSN:	2994-970X, 2994-970X
Online-Zugang:	Volltext
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