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...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings of the ACM on software engineering Ročník 2; číslo ISSTA; s. 1467 - 1488
Hlavní autori:	Ren, Zhilei, Li, Yitao, Li, Xiaochen, Qi, Guanxiao, Xuan, Jifeng, Jiang, He
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY, USA ACM 22.06.2025
Predmet:	Software and its engineering Software testing and debugging Fuzz Testing Gazebo Robotic Simulator Software Testing
ISSN:	2994-970X, 2994-970X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!