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CPP 2027: International Conference on Certified Programs and Proofs

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CPP
Día de Entrega:
2026-09-03 Faltan 54 días
Fecha de Notificación:
2027-11-10
Fecha de conferencia:
2027-01-10
Ubicación:
Mexico City, Mexico
Ediciones:
ICORE: B   Vistas: 16618   Seguidores: 3   Asistentes: 0

Solicitud de Artículos

CPP 2027 (International Conference on Certified Programs and Proofs) is a ICORE B conference held in Mexico City, Mexico on 2027-01-10. The paper submission deadline is 2026-09-03. Acceptance notifications are sent on 2027-11-10.

TOPICS OF INTEREST We welcome submissions in research areas related to formal certification of programs and proofs. The following is a non-exhaustive list of topics of interest to CPP: certified or certifying programming, compilation, linking, OS kernels, runtime systems, security monitors, and hardware; certified mathematical libraries and mathematical theorems; proof assistants (e.g, ACL2, Agda, Dafny, F*, HOL4, HOL Light, Idris, Isabelle, Lean, Mizar, Nuprl, PVS, Rocq, etc); new languages and tools for certified programming; program analysis, program verification, and program synthesis; program logics, type systems, and semantics for certified code; logics for certifying concurrent and distributed systems; mechanized metatheory, formalized programming language semantics, and logical frameworks; higher-order logics, dependent type theory, proof theory, logical systems, separation logics, and logics for security; verification of correctness and security properties; certificates for decision procedures, including linear algebra, polynomial systems, SAT, SMT, and unification in algebras of interest; certificates for semi-decision procedures, including equality, first-order logic, and higher-order unification; certificates for program termination; formal models of computation; mechanized (un)decidability and computational complexity proofs; formally certified methods for induction and coinduction; integration of interactive and automated provers; logical foundations of proof assistants; applications of AI and machine learning to formal verification; user interfaces for proof assistants and theorem provers; teaching mathematics and computer science with proof assistants.
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