SPLASH 2026
Sun 4 - Fri 9 October 2026 Oakland, California, United States
co-located with SPLASH/ISSTA 2026

This program is tentative and subject to change.

Refinement types often use SMT solvers to automate program verification.
However, since SMT solvers are first-order, verification of properties
that requires higher-order reasoning is not possible.
Proof by Logical Evaluation (PLE) is an algorithm that
provides a layer between refinement types and SMT solvers that
permits symbolic evaluation of functions, but it lacks support for
higher-order reasoning.
We introduce PLEX, an extension to PLE, that supports $\eta$-expansions,
$\beta$-reductions, and dependent
pattern matching. We prove that PLEX is sound and
terminating, describe its implementation in Liquid Haskell, and evaluate
it on examples that make essential use of
higher-order data, and as such they cannot be handled by PLE. The new
PLEX algorithm bridges the gap between higher-order languages and first-order
SMT solvers via refinement types.

This program is tentative and subject to change.

Tue 6 Oct

Displayed time zone: Pacific Time (US & Canada) change

15:30 - 17:00
Refinement Types and Functional ProgrammingOOPSLA at East Hall 2
Chair(s): Nadia Polikarpova University of California at San Diego
15:30
18m
Talk
PLEX: Normalization for Refinement Types
OOPSLA
Alessio Ferrarini IMDEA Software Institute; Universidad Politécnica de Madrid, Niki Vazou IMDEA Software Institute, Wouter Swierstra Utrecht University
Link to publication DOI
15:48
18m
Talk
First-Class Refinement Types for Scala
OOPSLA
Link to publication DOI
16:06
18m
Talk
Effectively Propositional Higher-Order Functional Programming
OOPSLA
Nicholas V. Lewchenko University of Colorado Boulder, Kunha Kim University of Colorado Boulder, Bor-Yuh Evan Chang University of Colorado Boulder; Amazon, Gowtham Kaki University of Colorado Boulder
DOI
16:24
18m
Talk
DeCo: A Core Calculus for Incremental Functional Programming with Generic Data Types
OOPSLA
Timon Böhler TU Darmstadt, Tobias Reinhard TU Darmstadt, David Richter TU Darmstadt, Mira Mezini Technische Universität Darmstadt; ATHENE; hessian.AI
DOI Pre-print
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