Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Jesper Winsten; Valentin Soloviev; Jarkko Peltomäki; Ivan Porres

doi:10.1145/3643659.3648603

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Jesper Winsten, Valentin Soloviev, Jarkko Peltomäki, Ivan Porres

Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

2 Citeringar (Scopus)

14 Nedladdningar (Pure)

Sammanfattning

WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

Originalspråk	Engelska
Titel på värdpublikation	Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024
Förlag	ACM
Sidor	43-44
Antal sidor	2
ISBN (elektroniskt)	9798400705625
ISBN (tryckt)	979-8-4007-0562-5
DOI	https://doi.org/10.1145/3643659.3648603
Status	Publicerad - 14 apr. 2024
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	IEEE/ACM International Workshop on Search-Based and Fuzz Testing - Varaktighet: 14 maj 2023 → …

Publikationsserier

Namn	Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024

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Konferens	IEEE/ACM International Workshop on Search-Based and Fuzz Testing
Förkortad titel	SBFT
Period	14/05/23 → …

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10.1145/3643659.3648603

3643659.3648603Slutlig publicerad version, 461 KBLicens: CC BY

https://urn.fi/URN:NBN:fi-fe2024091370946

AIDOaRT
Porres Paltor, I. (Ansvarig forskare), Truscan, D. (CoPI), Nybom, K. (CoI), Logacheva, E. (CoI), Winsten, J. (CoI) & Peltomäki, J. (CoI)
European Commission
01/04/21 → 30/09/24
Projekt: EU

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Winsten, J., Soloviev, V., Peltomäki, J., & Porres, I. (2024). Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV. I Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024 (s. 43-44). (Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024). ACM. https://doi.org/10.1145/3643659.3648603

@inproceedings{a155bcae092f45afa73805d9383b7f1c,

title = "Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV",

abstract = "WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.",

author = "Jesper Winsten and Valentin Soloviev and Jarkko Peltom{\"a}ki and Ivan Porres",

note = "Short-paper; IEEE/ACM International Workshop on Search-Based and Fuzz Testing , SBFT ; Conference date: 14-05-2023",

year = "2024",

month = apr,

day = "14",

doi = "10.1145/3643659.3648603",

language = "English",

isbn = "979-8-4007-0562-5",

series = "Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024",

publisher = "ACM",

pages = "43--44",

booktitle = "Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024",

}

Winsten, J , Soloviev, V , Peltomäki, J & Porres, I 2024, Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV. i Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024. Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024, ACM, s. 43-44, IEEE/ACM International Workshop on Search-Based and Fuzz Testing , 14/05/23. https://doi.org/10.1145/3643659.3648603

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV. / Winsten, Jesper ; Soloviev, Valentin ; Peltomäki, Jarkko et al.
Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024. ACM, 2024. s. 43-44 (Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024).

Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

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T1 - Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

AU - Winsten, Jesper

AU - Soloviev, Valentin

AU - Peltomäki, Jarkko

AU - Porres, Ivan

N1 - Short-paper

PY - 2024/4/14

Y1 - 2024/4/14

N2 - WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

AB - WOGAN-UAV is a test generation tool based on Wasserstein generative adversarial networks. In this paper, we present how WOGAN-UAV works and how it can be applied in the Unmanned Aerial Vehicle Testing Competition held as a part of SBFT 2024 workshop.

U2 - 10.1145/3643659.3648603

DO - 10.1145/3643659.3648603

M3 - Conference contribution

SN - 979-8-4007-0562-5

T3 - Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024

SP - 43

EP - 44

BT - Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024

PB - ACM

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ER -

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

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