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https://doi.org/10.21256/zhaw-26597Langanzeige der Metadaten
| DC Element | Wert | Sprache |
|---|---|---|
| dc.contributor.author | Khatiri, Sajad | - |
| dc.contributor.author | Panichella, Sebastiano | - |
| dc.contributor.author | Tonella, Paolo | - |
| dc.date.accessioned | 2023-01-13T11:58:08Z | - |
| dc.date.available | 2023-01-13T11:58:08Z | - |
| dc.date.issued | 2023-01 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/26597 | - |
| dc.description.abstract | Unmanned aerial vehicles (UAVs), also known as drones, are acquiring increasing autonomy. With their commercial adoption, the problem of testing their functional and non-functional, and in particular their safety requirements has become a critical concern. Simulation-based testing represents a fundamental practice, but the testing scenarios considered in software-in-the-loop testing may not be representative of the actual scenarios experienced in the field. In this paper, we propose SURREAL (teSting Uavs in the neighboRhood of REAl fLights), a novel search-based approach that analyses logs of real UAV flights and automatically generates simulation-based tests in the neighborhood of such real flights, thereby improving the realism and representativeness of the simulation-based tests. This is done in two steps: first, SURREAL faithfully replicates the given UAV flight in the simulation environment, generating a simulation-based test that mirrors a pre-logged real-world behavior. Then, it smoothly manipulates the replicated flight conditions to discover slightly modified flight scenarios that are challenging or trigger misbehaviors of the UAV under test in simulation. In our experiments, we were able to replicate a real flight accurately in the simulation environment and to expose unstable and potentially unsafe behavior in the neighborhood of a flight, which even led to crashes. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | ZHAW Zürcher Hochschule für Angewandte Wissenschaften | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Autonomous system | de_CH |
| dc.subject | Software testing | de_CH |
| dc.subject | Simulation | de_CH |
| dc.subject | Flight replication | de_CH |
| dc.subject.ddc | 005: Computerprogrammierung, Programme und Daten | de_CH |
| dc.title | Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
| dc.identifier.doi | 10.21256/zhaw-26597 | - |
| zhaw.conference.details | 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023 | de_CH |
| zhaw.funding.eu | info:eu-repo/grantAgreement/EC/H2020/957254//DevOps for Complex Cyber-physical Systems/COSMOS | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | acceptedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.webfeed | Software Engineering | de_CH |
| zhaw.funding.zhaw | COSMOS – DevOps for Complex Cyber-physical Systems of Systems | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Enthalten in den Sammlungen: | Publikationen School of Engineering | |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2023_Khatiri-etal_Test-case-generation-for-UAV-near-real-flights_ICST.pdf | Accepted Version | 431.22 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Kurzanzeige
Khatiri, S., Panichella, S., & Tonella, P. (2023, January). Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights. 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023. https://doi.org/10.21256/zhaw-26597
Khatiri, S., Panichella, S. and Tonella, P. (2023) ‘Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights’, in 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-26597.
S. Khatiri, S. Panichella, and P. Tonella, “Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights,” in 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023, Jan. 2023. doi: 10.21256/zhaw-26597.
KHATIRI, Sajad, Sebastiano PANICHELLA und Paolo TONELLA, 2023. Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights. In: 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023. Conference paper. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Januar 2023
Khatiri, Sajad, Sebastiano Panichella, and Paolo Tonella. 2023. “Simulation-Based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights.” Conference paper. In 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-26597.
Khatiri, Sajad, et al. “Simulation-Based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights.” 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), Dublin, Ireland, 16-20 April 2023, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2023, https://doi.org/10.21256/zhaw-26597.
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