Demo Data from EDBT 2026 / reviewers in the wild / expert
Viktória Vozárová
dblp:272/8148
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking › diagnosis
diagnosability |
0.6 | 1 | 2022 | Diagnosability of fair transition systems · Artif. Intell. 2022 |
Automated reasoning and model checking
fair transition systems |
0.6 | 1 | 2022 | Diagnosability of fair transition systems · Artif. Intell. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Searching for Ribbon-Shaped Paths in Fair Transition SystemsabstractAbstract 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 |
SAFECOMP | 5 |