Dijkstra weakest precondition calculus
E459519
Dijkstra weakest precondition calculus is a formal method for reasoning about program correctness by computing the weakest conditions that must hold before execution to guarantee a desired postcondition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dijkstra weakest precondition calculus canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4596171 — 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: Dijkstra weakest precondition calculus Context triple: [Hoare logic, relatedTo, Dijkstra weakest precondition calculus]
-
A.
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.
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B.
A Discipline of Programming
A Discipline of Programming is a seminal 1976 book by Edsger W. Dijkstra that rigorously develops program construction using formal mathematical reasoning and correctness proofs.
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C.
The Calculus of Computation
The Calculus of Computation is a textbook that introduces the mathematical foundations of verification, focusing on logic-based methods for specifying and proving properties of computational systems.
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D.
Boyer–Moore theorem prover
The Boyer–Moore theorem prover is an influential automated reasoning system for first-order logic and recursive function theory, notable for pioneering techniques in mechanical proof and program verification.
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E.
The Logic of Computer Programming
The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
- 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: Dijkstra weakest precondition calculus Target entity description: Dijkstra weakest precondition calculus is a formal method for reasoning about program correctness by computing the weakest conditions that must hold before execution to guarantee a desired postcondition.
-
A.
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.
-
B.
A Discipline of Programming
A Discipline of Programming is a seminal 1976 book by Edsger W. Dijkstra that rigorously develops program construction using formal mathematical reasoning and correctness proofs.
-
C.
The Calculus of Computation
The Calculus of Computation is a textbook that introduces the mathematical foundations of verification, focusing on logic-based methods for specifying and proving properties of computational systems.
-
D.
Boyer–Moore theorem prover
The Boyer–Moore theorem prover is an influential automated reasoning system for first-order logic and recursive function theory, notable for pioneering techniques in mechanical proof and program verification.
-
E.
The Logic of Computer Programming
The Logic of Computer Programming is a foundational textbook in theoretical computer science that rigorously develops methods for specifying, proving, and reasoning about the correctness of computer programs.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Hoare-style program logic
ⓘ
formal method ⓘ predicate transformer calculus ⓘ program verification method ⓘ |
| appliesTo |
imperative programs
ⓘ
sequential programs ⓘ |
| assumes | deterministic program semantics by default ⓘ |
| basedOn |
mathematical logic
ⓘ
predicate logic ⓘ |
| contrastsWith | strongest postcondition calculus ⓘ |
| coreConcept |
partial correctness
ⓘ
predicate transformer ⓘ total correctness ⓘ weakest precondition ⓘ |
| creator | Edsger W. Dijkstra ⓘ |
| defines | weakest precondition operator wp ⓘ |
| extension | weakest liberal precondition calculus ⓘ |
| field | computer science ⓘ |
| goal | compute weakest condition before execution that guarantees a postcondition ⓘ |
| hasRuleFor |
assignment statement
ⓘ
conditional statement ⓘ loop statement ⓘ nondeterministic choice ⓘ sequential composition ⓘ |
| influenced |
formal methods in software engineering
ⓘ
refinement calculus ⓘ verification condition generation ⓘ |
| introducedInWork | A Discipline of Programming ⓘ |
| property |
compositional
ⓘ
sound with respect to operational semantics ⓘ supports derivation of loop invariants ⓘ syntax-directed ⓘ |
| publicationYear | 1976 ⓘ |
| relatedTo |
Floyd–Hoare logic
ⓘ
linked to:
Hoare logic
Hoare logic ⓘ program semantics ⓘ |
| relatesConcept |
postcondition
ⓘ
precondition ⓘ program specification ⓘ program statement ⓘ |
| subfield |
formal verification
ⓘ
program semantics ⓘ |
| usedFor |
deriving correctness proofs
ⓘ
formal program verification ⓘ reasoning about program correctness ⓘ |
| usedIn |
program verification tools
ⓘ
static analysis frameworks ⓘ theorem provers ⓘ |
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: Dijkstra weakest precondition calculus Description of subject: Dijkstra weakest precondition calculus is a formal method for reasoning about program correctness by computing the weakest conditions that must hold before execution to guarantee a desired postcondition.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
An Axiomatic Basis for Computer Programming
→
relatedConcept
→
Dijkstra weakest precondition calculus
ⓘ