WOGAN at the SBST 2022 CPS tool competition

Jarkko Peltomäki; Frankie Spencer; Ivan Porres

doi:10.1145/3526072.3527535

WOGAN at the SBST 2022 CPS tool competition

Jarkko Peltomäki
, Frankie Spencer
, Ivan Porres

Informationsteknologi

Forskningsoutput: Kapitel i bok/konferenshandling › Publicerad konferensartikel › Vetenskaplig › Peer review

11 Citeringar (Scopus)

Sammanfattning

WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.

Originalspråk	Engelska
Titel på värdpublikation	2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)
Förlag	IEEE
Sidor	53-54
ISBN (elektroniskt)	978-1-4503-9318-8
ISBN (tryckt)	978-1-6654-6234-1
DOI	https://doi.org/10.1145/3526072.3527535
Status	Publicerad - 2022
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	IEEE/ACM International Workshop on Search-Based Software Testing (SBST) - Varaktighet: 9 maj 2022 → 9 maj 2022

Konferens

Konferens	IEEE/ACM International Workshop on Search-Based Software Testing (SBST)
Förkortad titel	SBST 2022
Period	09/05/22 → 09/05/22

Åtkomst av dokument

10.1145/3526072.3527535

http://arxiv.org/abs/2205.11064

Citera det här

@inproceedings{d291733c8fcd47db81f34bea856dfbed,

title = "WOGAN at the SBST 2022 CPS tool competition",

abstract = "WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.",

author = "Jarkko Peltom{\"a}ki and Frankie Spencer and Ivan Porres",

year = "2022",

doi = "10.1145/3526072.3527535",

language = "English",

isbn = "978-1-6654-6234-1",

pages = "53--54",

booktitle = "2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)",

publisher = "IEEE",

address = "United States",

note = "IEEE/ACM International Workshop on Search-Based Software Testing (SBST), SBST 2022 ; Conference date: 09-05-2022 Through 09-05-2022",

}

TY - GEN

T1 - WOGAN at the SBST 2022 CPS tool competition

AU - Peltomäki, Jarkko

AU - Spencer, Frankie

AU - Porres, Ivan

PY - 2022

Y1 - 2022

N2 - WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.

AB - WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.

U2 - 10.1145/3526072.3527535

DO - 10.1145/3526072.3527535

M3 - Published conference proceeding

SN - 978-1-6654-6234-1

SP - 53

EP - 54

BT - 2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing (SBST)

PB - IEEE

T2 - IEEE/ACM International Workshop on Search-Based Software Testing (SBST)

Y2 - 9 May 2022 through 9 May 2022

ER -

WOGAN at the SBST 2022 CPS tool competition

Sammanfattning

Konferens

Åtkomst av dokument

Fingeravtryck

Citera det här