TUMB at the SBFT 2024 Tool Competition - CPS-UAV Test Case Generation Track

TUMB is a generator of scenarios for UAV testing, that participated in the UAV Testing Competition at SBFT 2024. TUMB relies on Monte Carlo Tree Search (MCTS) to search for different placements of obstacles of different sizes in the mission environment. Increasing the tree depth corresponds to addin...

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Veröffentlicht in:	2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT) S. 53 - 54
Hauptverfasser:	Tang, Shuncheng, Zhang, Zhenya, Cetinkaya, Ahmet, Arcaini, Paolo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 14.04.2024
Schlagworte:	Autonomous aerial vehicles Conferences Debugging Fuzzing Generators Monte Carlo methods Optimization Search-based software engineering Software Software and its engineering → Software testing and debugging Software engineering Test pattern generators
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	TUMB is a generator of scenarios for UAV testing, that participated in the UAV Testing Competition at SBFT 2024. TUMB relies on Monte Carlo Tree Search (MCTS) to search for different placements of obstacles of different sizes in the mission environment. Increasing the tree depth corresponds to adding a new obstacle to the environment, while adding a new node in the current tree level corresponds to the optimisation of the placement and of the dimension of the last added obstacle.
DOI:	10.1145/3643659.3648602