Demo Data from EDBT 2026 / reviewers in the wild / expert
Frederik Bønneland
dblp:220/0647 · also Frederik M. Bønneland, Frederik Meyer Bønneland
· DBLP profile ↗
5ranked-venue papers
4as first author
2since 2021 · last 2023
0000-0002-5590-1012ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 3 first-author · 1 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 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 · 50% Logic in computer science · 50% |
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 › model checking › state space reduction
partial order reduction |
0.3 | 1 | 2018 | Start Pruning When Time Gets Urgent: Partial Order Reduction for Timed Systems · CAV (1) 2018 |
Logic in computer science › transition systems
timed systems |
0.3 | 1 | 2018 | Start Pruning When Time Gets Urgent: Partial Order Reduction for Timed Systems · CAV (1) 2018 |
Methods — techniques the papers use, named apart from their topics
stubborn set reduction · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Tailoring Stateless Model Checking for Event-Driven Multi-threaded Programs
Parosh Aziz Abdulla, Mohamed Faouzi Atig, Frederik Bønneland, Sarbojit Das, Bengt Jonsson 0001, Magnus Lång, Konstantinos Sagonas |
ATVA | 3 |
| 2021 | Stubborn Set Reduction for Two-Player Reachability Games
Frederik Bønneland, Peter Gjøl Jensen, Kim G. Larsen, Marco Muñiz, Jirí Srba |
Log. Methods Comput. Sci. | 1 |
| 2019 | Partial Order Reduction for Reachability GamesabstractPartial order reductions have been successfully applied to model checking of concurrent systems and practical applications of the technique show nontrivial reduction in the size of the explored state space. We present a theory of partial order reduction based on stubborn sets in the game-theoretical setting of 2-player games with reachability/safety objectives. Our stubborn reduction allows us to prune the interleaving behaviour of both players in the game, and we formally prove its correctness on the class of games played on general labelled transition systems. We then instantiate the framework to the class of weighted Petri net games with inhibitor arcs and provide its efficient implementation in the model checker TAPAAL. Finally, we evaluate our stubborn reduction on several case studies and demonstrate its efficiency. Frederik Bønneland, Peter Gjøl Jensen, Kim G. Larsen, Marco Muñiz, Jirí Srba |
CONCUR | 1 |
| 2018 | Simplification of CTL Formulae for Efficient Model Checking of Petri Nets
Frederik Bønneland, Jakob Dyhr, Peter Gjøl Jensen, Mads Johannsen, Jirí Srba |
Petri Nets | 1 |
| 2018 | Start Pruning When Time Gets Urgent: Partial Order Reduction for Timed SystemsabstractPartial order reduction for timed systems is a challenging topic due to the dependencies among events induced by time acting as a global synchronization mechanism. So far, there has only been a limited success in finding practically applicable solutions yielding significant state space reductions. We suggest a working and efficient method to facilitate stubborn set reduction for timed systems with urgent behaviour. We first describe the framework in the general setting of timed labelled transition systems and then instantiate it to the case of timed-arc Petri nets. The basic idea is that we can employ classical untimed partial order reduction techniques as long as urgent behaviour is enforced. Our solution is implemented in the model checker TAPAAL and the feature is now broadly available to the users of the tool. By a series of larger case studies, we document the benefits of our method and its applicability to real-world scenarios. Frederik Bønneland, Peter Gjøl Jensen, Kim G. Larsen, Marco Muñiz, Jirí Srba |
CAV (1) | 1 |