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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

Forskningsoutput: Kapitel i bok/konferenshandlingPublicerad konferensartikelVetenskapligPeer review

19 Citeringar (Scopus)
461 Nedladdningar (Pure)

Sammanfattning

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.

OriginalspråkEngelska
Titel på värdpublikationProceedings of 11th International Workshop on Applied Verification of Continuous and Hybrid Systems (ARCH24)
FörlagEasyChair
Sidor122-144
Antal sidor23
Volym103
DOI
StatusPublicerad - 10 okt. 2024
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangInternational Workshop on Applied Verification for Continuous and Hybrid Systems -
Varaktighet: 3 juli 2024 → …

Publikationsserier

NamnEPiC Series in Computing
Volym103
ISSN (tryckt)2398-7340

Konferens

KonferensInternational Workshop on Applied Verification for Continuous and Hybrid Systems
Period03/07/24 → …

Finansiering

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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