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Fedor Filippov

dblp:431/0272 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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 · 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)4