Program Verification: Approaches and Tools
E260374
"Program Verification: Approaches and Tools" is a foundational work in computer science that systematically presents methods and practical techniques for proving the correctness of software programs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Program Verification: Approaches and Tools canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2384371 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Program Verification: Approaches and Tools Context triple: [Zohar Manna, authorOf, Program Verification: Approaches and Tools]
-
A.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
B.
Hoare logic
Hoare logic is a formal system in computer science used to reason rigorously about the correctness of computer programs using logical assertions about program states.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Isabelle/HOL: A Proof Assistant for Higher-Order Logic
"Isabelle/HOL: A Proof Assistant for Higher-Order Logic" is a foundational book and system documentation that presents the Isabelle/HOL interactive theorem prover, widely used for formal verification and higher-order logic reasoning in computer science and mathematics.
-
E.
Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Program Verification: Approaches and Tools Target entity description: "Program Verification: Approaches and Tools" is a foundational work in computer science that systematically presents methods and practical techniques for proving the correctness of software programs.
-
A.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
B.
Hoare logic
Hoare logic is a formal system in computer science used to reason rigorously about the correctness of computer programs using logical assertions about program states.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Isabelle/HOL: A Proof Assistant for Higher-Order Logic
"Isabelle/HOL: A Proof Assistant for Higher-Order Logic" is a foundational book and system documentation that presents the Isabelle/HOL interactive theorem prover, widely used for formal verification and higher-order logic reasoning in computer science and mathematics.
-
E.
Z3: An Efficient SMT Solver
Z3: An Efficient SMT Solver is a high-performance satisfiability modulo theories (SMT) solver widely used in program verification, formal methods, and automated reasoning.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
academic book
ⓘ
computer science book ⓘ work on program verification ⓘ |
| aimsTo |
bridge theory and practice in program verification
ⓘ
systematically present program verification methods ⓘ |
| contributesTo |
education in program verification
ⓘ
foundations of software correctness ⓘ |
| covers |
applications of program verification in software engineering
ⓘ
automation in program verification ⓘ correctness proofs for software ⓘ formal specification of programs ⓘ proof techniques for program properties ⓘ soundness of verification methods ⓘ verification tools and frameworks ⓘ |
| describes |
methods for proving program correctness
ⓘ
practical techniques for program verification ⓘ |
| emphasizes |
rigorous reasoning about software behavior
ⓘ
systematic verification methodologies ⓘ |
| field | computer science ⓘ |
| focusesOn |
approaches to program verification
ⓘ
formal methods for software correctness ⓘ proving correctness of software programs ⓘ tools for program verification ⓘ |
| intendedFor |
researchers in formal methods
ⓘ
software engineers interested in verification ⓘ students of computer science ⓘ |
| mainSubject | program verification ⓘ |
| relatesTo |
correctness by construction
ⓘ
formal specification languages ⓘ model checking ⓘ software quality assurance ⓘ software reliability ⓘ static analysis of programs ⓘ theorem proving in software verification ⓘ |
| type | foundational work in program verification ⓘ |
| uses |
formal logic for program properties
ⓘ
mathematical reasoning about programs ⓘ |
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: Program Verification: Approaches and Tools Description of subject: "Program Verification: Approaches and Tools" is a foundational work in computer science that systematically presents methods and practical techniques for proving the correctness of software programs.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.