Representation predicates enable data abstraction in separation logic, but when the same concrete implementation may need to be abstracted in different ways, one needs a notion of subsumption. We demonstrate function-specification subtyping, analogous to subtyping, with a subsumption rule: if ϕ is a of ψ, that is ϕ< : ψ, then x: ϕ implies x: ψ, meaning that any function satisfying specification ϕ can be used wherever a function satisfying ψ is demanded. We extend previous notions of Hoare-logic sub-specification, which already included parameter adaption, to include framing (necessary for separation logic) and impredicative bifunctors (necessary for higher-order functions, i.e. function pointers). We show intersection specifications, with the expected relation to subtyping. We show how this enables compositional modular verification of the functional correctness of C programs, in Coq, with foundational machine-checked proofs of soundness.
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An illustrated guide to the model theory of supertype abstraction and behavioral subtyping
Object-oriented (OO) programs, which use subtyping and dynamic dispatch, make specification and verification difficult because the code executed by a method call may dynamically be dispatched to an overriding method in any subtype, even ones that did not exist at the time the program was specified. Modular reasoning for such programs means allowing one to add new subtypes to a program without re-specifying and re-verifying it. In a 2015 ACM TOPLAS paper we presented a model-theoretic characterization of a Hoare-style modular verification technique for sequential OO programs called ``supertype abstraction,'' defined behavioral subtyping, and proved that behavioral subtyping is both necessary and sufficient for the validity of supertype abstraction. The present paper is aimed at graduate students and other researchers interested in formal methods and gives a comprehensive overview of our prior work, along with the motivation and intuition for that work, with examples.
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- Award ID(s):
- 1718713
- PAR ID:
- 10067090
- Date Published:
- Journal Name:
- Engineering Trustworthy Software Systems
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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