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

Informationsteknologi

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

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	2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT ’24)
Förlag	ACM
Antal sidor	2
DOI	https://doi.org/10.1145/3643659.3648603
Status	Accepterad/under tryckning - 2024
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	IEEE/ACM International Workshop on Search-Based and Fuzz Testing - Varaktighet: 14 maj 2023 → …

Konferens

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

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@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",

year = "2024",

doi = "10.1145/3643659.3648603",

language = "English",

booktitle = "2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT {\textquoteright}24)",

publisher = "ACM",

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

}

TY - GEN

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

AU - Winsten, Jesper

AU - Soloviev, Valentin

AU - Peltomäki, Jarkko

AU - Porres, Ivan

PY - 2024

Y1 - 2024

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

BT - 2024 ACM/IEEE International Workshop on Search-Based and Fuzz Testing (SBFT ’24)

PB - ACM

T2 - IEEE/ACM International Workshop on Search-Based and Fuzz Testing

Y2 - 14 May 2023

ER -

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

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