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L. J. Hwang

dblp:51/6113 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Theory of computation · 2

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
2 papers
Automated reasoning and model checking · 85% Logic in computer science · 15%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › model checking
symbolic model checking
0.021992
Symbolic Model Checking: 10^20 States and Beyond · Inf. Comput. 1992
Symbolic Model Checking: 10^20 States and Beyond · LICS 1990
Automated reasoning and model checking
model checking
0.011992
Symbolic Model Checking: 10^20 States and Beyond · Inf. Comput. 1992
Automated reasoning and model checking › model checking › temporal logic model checking
CTL model checking
0.011990
Symbolic Model Checking: 10^20 States and Beyond · LICS 1990
Automated reasoning and model checking › model checking › temporal logic model checking
mu-calculus model checking
0.011990
Symbolic Model Checking: 10^20 States and Beyond · LICS 1990
Logic in computer science
temporal logic
0.011990
Symbolic Model Checking: 10^20 States and Beyond · LICS 1990

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

binary decision diagrams · 0.0symbolic model checking · 0.0fixed-point computation · 0.0
YearPublicationVenuePosition
1992 Symbolic Model Checking: 10^20 States and Beyond
Jerry R. Burch, Edmund M. Clarke, Kenneth L. McMillan, David L. Dill, L. J. Hwang
Inf. Comput.5
1990 Symbolic Model Checking: 10^20 States and Beyond
abstract
A general method that represents the state space symbolically instead of explicitly is described. The generality of the method comes from using a dialect of the mu-calculus as the primary specification language. A model-checking algorithm for mu-calculus formulas which uses R.E. Bryant's (1986) binary decision diagrams to represent relations and formulas symbolically is described. It is then shown how the novel mu-calculus model checking algorithm can be used to derive efficient decision procedures for CTL model checking, satisfiability of linear-time temporal logic formulas, strong and weak observational equivalence of finite transition systems, and language containment of finite omega -automata. This eliminates the need to describe complicated graph-traversal or nested fixed-point computations for each decision procedure. The authors illustrate the practicality of their approach to symbolic model checking by discussing how it can be used to verify a simple synchronous pipeline.>
Jerry R. Burch, Edmund M. Clarke, Kenneth L. McMillan, David L. Dill, L. J. Hwang
LICS5