SBFT Tool Competition 2024-CPS-UAV Test Case Generation Track

被引:0
|
作者
Khatiri, Sajad [1 ]
Munasinghe, Charith [1 ]
Saurabh, Prasun [1 ]
Birchler, Christian [1 ]
Zimmermann, Timothy [2 ]
Panichella, Sebastiano [1 ]
机构
[1] Zurich Univ Appl Sci, Zurich, Switzerland
[2] Verity AG, Zurich, Switzerland
基金
欧盟地平线“2020”;
关键词
Tool Competition; Software Testing; Test Case Generation; Unmanned Aerial Vehicles; Search Based Software Engineering;
D O I
10.1145/3643659.3643931
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
While simulation-based testing is critical for ensuring the safety of autonomous Unmanned Aerial Vehicles (UAVs), it has not been adequately researched yet. The UAV Testing Competition organized by the Search-Based and Fuzz Testing (SBFT) workshop is an initiative designed to inspire and encourage the software testing Community to direct their attention toward UAVs as a rapidly emerging and crucial domain. It provides a simple software platform and case study to facilitate their onboarding in the UAV domain and help them develop their first test generation tools for UAVs. In this first edition of the competition, 7 tools were submitted, evaluated, and compared extensively against each other and the baseline approach. We evaluated their test generation performance for 6 different case studies using our novel benchmarking infrastructure. The generated test suites were scored and ranked based on the number and severity of the revealed faults, and the complexity, diversity, and execution time of the test cases. This paper describes the competition context, its platform, the competing tools, and the evaluation process and results.
引用
收藏
页码:29 / 32
页数:4
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