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Kenneth Rogale

dblp:412/8750 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0003-6213-3933ORCID · corroborated

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

Software engineering, systems software and programming languages · 2 · 2 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 · 75% Logic in computer science · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › model checking
bounded model checking
1.012026
HyperQB 2.0: A Bounded Model Checker for Hyperproperties · CAV (1) 2026
Logic in computer science › temporal logic
HyperLTL
1.012026
HyperQB 2.0: A Bounded Model Checker for Hyperproperties · CAV (1) 2026
Automated reasoning and model checking
hyperproperties
1.012026
HyperQB 2.0: A Bounded Model Checker for Hyperproperties · CAV (1) 2026
Automated reasoning and model checking
model checking
1.012026
HyperQB 2.0: A Bounded Model Checker for Hyperproperties · CAV (1) 2026

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

SMT solving · 1.0QBF solving · 1.0
YearPublicationVenuePosition
2026 HyperQB 2.0: A Bounded Model Checker for Hyperproperties
abstract
Abstract We introduce the tool $$^{\textsf {\small 2.0}}$$ 2 . 0 , the first highly efficient push-button bounded model checker (BMC) for hyperproperties. HyperQB takes as input a model in NuSMV or Verilog and a formula expressed in the temporal logics HyperLTL or A-HLTL. The core decision procedures to implement BMC are SMT and QBF solvers, enabling verification of finite- and infinite-state programs. HyperQB offers command-line, standalone graphical, and web-based interfaces. Based on the selection of either bug-hunting or synthesis, instances of counterexamples or path witnesses are returned. The tool is entirely implemented in and we report on successful and effective model checking results for a rich set of experiments on a variety of case studies with rigorous performance comparison and contrast with similar tools.
Tzu-Han Hsu, Milad Rabizadeh, Kenneth Rogale, Fedor Filippov, Marco A. de Oliveira Batista, Borzoo Bonakdarpour
CAV (1)3
2026 Efficient Discovery of Actual Causality in Stochastic Systems
Arshia Rafieioskouei, Kenneth Rogale, Borzoo Bonakdarpour
VMCAI2