Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Brendan Devlin-Hill

dblp:328/4808 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-5000-0525ORCID · reported

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

Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › synthesis
correct-by-construction synthesis
1.012026
ULTIMATE: A Tool for the Verification and Synthesis of Stochastic World Models · CAV (3) 2026
Automated reasoning and model checking › model checking
probabilistic model checking
1.012026
ULTIMATE: A Tool for the Verification and Synthesis of Stochastic World Models · CAV (3) 2026
Automated reasoning and model checking
synthesis
1.012026
ULTIMATE: A Tool for the Verification and Synthesis of Stochastic World Models · CAV (3) 2026

Methods — techniques the papers use, named apart from their topics

parametric model checking · 1.0compositional verification · 1.0
YearPublicationVenuePosition
2026 ULTIMATE: A Tool for the Verification and Synthesis of Stochastic World Models
abstract
Abstract We present a tool for the compositional verification and correct-by-construction synthesis of stochastic world models —heterogeneous networks of interdependent stochastic models including discrete and continuous-time Markov chains, Markov decision processes (MDPs), partially observable MDPs, and stochastic multi-player games. Through its unique integration of multiple probabilistic and parametric model checking paradigms, our tool unifies the modelling, verification and synthesis of systems characterised by a combination of probabilistic and nondeterministic uncertainty, discrete and continuous-time behaviour, partial observability, and multi-agent interaction.
Radu Calinescu, Micah Bassett, Brendan Devlin-Hill, Simos Gerasimou, Sinem Getir, Kavan Fatehi, Gricel Vázquez
CAV (3)3