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Viktória Vozárová

dblp:272/8148 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0001-8506-8212ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Security and privacy · 1Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › diagnosis
diagnosability
0.612022
Diagnosability of fair transition systems · Artif. Intell. 2022
Automated reasoning and model checking
fair transition systems
0.612022
Diagnosability of fair transition systems · Artif. Intell. 2022
YearPublicationVenuePosition
2022 Searching for Ribbon-Shaped Paths in Fair Transition Systems
abstract
Abstract Diagnosability is a fundamental problem of partial observable systems in safety-critical design. Diagnosability verification checks if the observable part of system is sufficient to detect some faults. A counterexample to diagnosability may consist of infinitely many indistinguishable traces that differ in the occurrence of the fault. When the system under analysis is modeled as a Büchi automaton or finite-state Fair Transition System, this problem reduces to look for ribbon-shaped paths, i.e., fair paths with a loop in the middle. In this paper, we propose to solve the problem by extending the liveness-to-safety approach to look for lasso-shaped paths. The algorithm can be applied to various diagnosability conditions in a uniform way by changing the conditions on the loops. We implemented and evaluated the approach on various diagnosability benchmarks.
Marco Bozzano, Alessandro Cimatti, Stefano Tonetta, Viktória Vozárová
TACAS (1)4
2022 Diagnosability of fair transition systems
Benjamin Bittner, Marco Bozzano, Alessandro Cimatti, Marco Gario, Stefano Tonetta, Viktória Vozárová
Artif. Intell.6
2020 Model-Based Safety Analysis of Mode Transitions
Marco Bozzano, Peter Munk, Markus Schweizer, Stefano Tonetta, Viktória Vozárová
SAFECOMP5