Kenneth McMillan
E264333
Kenneth McMillan is a computer scientist known for his influential work in model checking and formal verification.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kenneth McMillan canonical | 1 |
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf | computer scientist ⓘ |
| awardReceived |
Paris Kanellakis Theory and Practice Award
ⓘ
surface form:
ACM Paris Kanellakis Theory and Practice Award
CAV Award ⓘ |
| field |
computer science
ⓘ
formal methods ⓘ formal verification ⓘ model checking ⓘ |
| hasImpactOn |
formal methods in industry
ⓘ
hardware design verification ⓘ software reliability ⓘ |
| influenced |
development of industrial model checking tools
ⓘ
research in SAT-based verification ⓘ research in property-directed reachability methods ⓘ |
| knownFor |
Craig interpolation in model checking
ⓘ
IC3 model checking algorithm ⓘ abstraction techniques in model checking ⓘ compositional model checking ⓘ contributions to hardware verification ⓘ contributions to software verification ⓘ property-directed reachability ⓘ refinement-based verification methods ⓘ symbolic model checking ⓘ work on SAT-based model checking ⓘ |
| notableConcept |
Craig interpolation in verification
ⓘ
IC3 algorithm ⓘ property-directed reachability (PDR) ⓘ |
| notableWork |
Compositional model checking
ⓘ
IC3: Incremental Construction of Inductive Clauses for Indubitable Correctness ⓘ Interpolation and SAT-based model checking ⓘ Symbolic Model Checking ⓘ
surface form:
Symbolic Model Checking: An Approach to the State Explosion Problem
|
| researchArea |
SAT/SMT-based verification
ⓘ
abstraction refinement ⓘ hardware model checking ⓘ software model checking ⓘ symbolic verification ⓘ temporal logic model checking ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Kenneth McMillan Description of subject: Kenneth McMillan is a computer scientist known for his influential work in model checking and formal verification.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.