ARCH-COMP 2024 Category Report: Falsification

  • Tanmay Khandait
  • , Federico Formica
  • , Paolo Arcaini
  • , Surdeep Chotaliya
  • , Georgios Fainekos
  • , Abdelrahman Hekal
  • , Atanu Kundu
  • , Ethan Lew
  • , Michele Loreti
  • , Claudio Menghi
  • , Laura Nenzi
  • , Giulia Pedrielli
  • , Jarkko Peltomäki
  • , Ivan Porres
  • , Rajarshi Ray
  • , Valentin Soloviev
  • , Ennio Visconti
  • , Masaki Waga
  • , Zhenya Zhang

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

10 Sitaatiot (Scopus)
203 Lataukset (Pure)

Abstrakti

This report presents the results from the falsification category of the 2024 competition in the Applied Verification for Continuous and Hybrid Systems (ARCH) workshop. The report summarizes the competition rules and settings, the benchmark models for the tool comparison, and provides background on the participating teams and tools. Finally, it presents and discusses the results of the competition.

AlkuperäiskieliEnglanti
OtsikkoProceedings of 11th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH24)
KustantajaEasyChair
Sivut122-144
Sivumäärä23
Vuosikerta103
DOI - pysyväislinkit
TilaJulkaistu - 10 lokak. 2024
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Workshop on Applied Verification for Continuous and Hybrid Systems -
Kesto: 3 heinäk. 2024 → …

Julkaisusarja

NimiEPiC Series in Computing
Vuosikerta103
ISSN (painettu)2398-7340

Konferenssi

KonferenssiInternational Workshop on Applied Verification for Continuous and Hybrid Systems
Ajanjakso03/07/24 → …

Rahoitus

European Union\u2019s Horizon 2021 research and innovation programme and Sweden, Austria, Czech Republic, Finland, France, Italy, Spain. E. Visconti is supported by the Austrian Science Fund (FWF) for the project \u201CHigh-dimensional statistical learning: New methods to advance economic and sustainability policies\u201D (ZK 35), jointly carried out by the University of Klagenfurt, the University of Salzburg, TU Wien, and the Austrian Institute of Economic Research (WIFO). M. Waga is partially supported by JST ACT-X Grant Number JPMJAX200U, JSPS KAKENHI Grant Number JP22K17873, and JST CREST Grant Number JPMJCR2012, Japan.

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