SBFT Tool Competition 2025 – UAV Testing Track

Unmanned Aerial Vehicles (UAVs) are complex and critical cyber-physical systems, making simulation-based testing essential for ensuring their safe operation. Despite its importance, this field remains relatively unexplored, offering significant opportunities for further research and advancement. The UAV Testing Competition strives to actively engage the software testing community in establishing UAV testing as a rapidly emerging and indispensable domain. The second edition of the tool competition was organized jointly by SBFT and ICST, and received five submissions in total. Two of the submitted tools competed in the context of SBFT, and their test generation capabilities were assessed across three case studies and compared against each other and the baseline approach. The final ranking was determined based on the tools’ effectiveness in failure detection and the diversity of the generated test cases.

Institutions

Publication Details

Published
2025-04-28
DOI
https://doi.org/10.1109/sbft66712.2025.00007
Citations
6
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
29.96
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article

SBFT Tool Competition 2025 – UAV Testing Track

6 citations
Air Traffic Management and Optimization
29.96
article

SBFT Tool Competition 2025 – UAV Testing Track

article en
6 citations

Abstract

Unmanned Aerial Vehicles (UAVs) are complex and critical cyber-physical systems, making simulation-based testing essential for ensuring their safe operation. Despite its importance, this field remains relatively unexplored, offering significant opportunities for further research and advancement. The UAV Testing Competition strives to actively engage the software testing community in establishing UAV testing as a rapidly emerging and indispensable domain. The second edition of the tool competition was organized jointly by SBFT and ICST, and received five submissions in total. Two of the submitted tools competed in the context of SBFT, and their test generation capabilities were assessed across three case studies and compared against each other and the baseline approach. The final ranking was determined based on the tools’ effectiveness in failure detection and the diversity of the generated test cases.

University of Bern (CH), ZHAW Zurich University of Applied Sciences (CH), Polytechnique Montréal (CA), Università della Svizzera italiana (CH)
Openalex Percentile: Top 1%
Air Traffic Management and Optimization
29.96
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