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Jeongbong Seo

dblp:124/5883 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Theory of computation · 1 · 1 first-author

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
Logic in computer science · 67% Automated reasoning and model checking · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science › proof theory › substructural logic
Boolean BI
0.212013
A theorem prover for Boolean BI · POPL 2013
Logic in computer science › program logic
separation logic
0.212013
A theorem prover for Boolean BI · POPL 2013
Automated reasoning and model checking
theorem proving
0.212013
A theorem prover for Boolean BI · POPL 2013

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

refinement · 0.2backward search · 0.2
YearPublicationVenuePosition
2014 Mechanizing Metatheory Without Typing Contexts
Jeongbong Seo, Gyesik Lee
J. Autom. Reason.2
2013 A theorem prover for Boolean BI
abstract
While separation logic is acknowledged as an enabling technology for large-scale program verification, most of the existing verification tools use only a fragment of separation logic that excludes separating implication. As the first step towards a verification tool using full separation logic, we develop a nested sequent calculus for Boolean BI (Bunched Implications), the underlying theory of separation logic, as well as a theorem prover based on it. A salient feature of our nested sequent calculus is that its sequent may have not only smaller child sequents but also multiple parent sequents, thus producing a graph structure of sequents instead of a tree structure. Our theorem prover is based on backward search in a refinement of the nested sequent calculus in which weakening and contraction are built into all the inference rules. We explain the details of designing our theorem prover and provide empirical evidence of its practicality.
Jeongbong Seo
POPL2
2013 Judgmental subtyping systems with intersection types and modal types
Jeongbong Seo
Acta Informatica1