short-paper

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

Authors:

Shuncheng Tang,

Zhenya Zhang,

Ahmet Cetinkaya,

Paolo ArcainiAuthors Info & Claims

SBFT '24: Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing

Pages 53 - 54

https://doi.org/10.1145/3643659.3648602

Published: 10 September 2024 Publication History

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Abstract

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.

References

[1]

Cameron B. Browne, Edward Powley, Daniel Whitehouse, Simon M. Lucas, Peter I. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton. 2012. A Survey of Monte Carlo Tree Search Methods. IEEE Transactions on Computational Intelligence and AI in Games 4, 1 (2012), 1--43.

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[2]

Sajad Khatiri, Sebastiano Panichella, and Paolo Tonella. 2023. Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights. In 2023 16th IEEE International Conference on Software Testing, Verification and Validation (ICST).

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[3]

Sajad Khatiri, Sebastiano Panichella, and Paolo Tonella. 2024. Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist. In International Conference on Software Engineering (ICSE).

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[4]

Sajad Khatiri, Prasun Saurabh, Timothy Zimmermann, Charith Munasinghe, Christian Birchler, and Sebastiano Panichella. 2024. SBFT Tool Competition 2024 - CPS-UAV Test Case Generation Track. In IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT@ICSE 2024.

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Cited By

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Humeniuk DBen Braiek HReid TKhomh FFilkov VRay BZhou M(2024)In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic ManipulatorsProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695281(2187-2198)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695281
Khatiri SSaurabh PZimmermann TMunasinghe CBirchler CPanichella S(2024)SBFT Tool Competition 2024 - CPS-UAV Test Case Generation TrackProceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing10.1145/3643659.3643931(29-32)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3643659.3643931

Index Terms

TUMB at the SBFT 2024 Tool Competition - CPS-UAV Test Case Generation Track
1. Software and its engineering
  1. Software creation and management
    1. Search-based software engineering
    2. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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Published In

SBFT '24: Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing

April 2024

84 pages

ISBN:9798400705625

DOI:10.1145/3643659

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Faculty of Engineering of University of Porto

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2024

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SBFT '24

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SIGSOFT

SBFT '24: 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing

April 14, 2024

Lisbon, Portugal

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ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

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Humeniuk DBen Braiek HReid TKhomh FFilkov VRay BZhou M(2024)In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic ManipulatorsProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695281(2187-2198)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695281
Khatiri SSaurabh PZimmermann TMunasinghe CBirchler CPanichella S(2024)SBFT Tool Competition 2024 - CPS-UAV Test Case Generation TrackProceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing10.1145/3643659.3643931(29-32)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3643659.3643931

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

CAMBA CPS-UAV at the SBFT Tool Competition 2024: CAMBA: Cost-Aware Mutation-Based Test Case Generation for Unmanned Aerial Vehicles

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

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