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20242026
most citedA Machine Learning-based Approach for Solving Recurrence Relations and its use in Cost Analysis of Logic Programs

5 citations · 7 across the 10 of their papers we have counts for

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cs.PL2026

Abstract Compilation as Abstraction of Operator Semantics, applied to Cost Analysis

Louis Rustenholz, Alessio Mansutti, Pedro López-García +3

Least fixpoints are fundamental to program semantics, but they abstract away the recursive structure that generated them. We introduce operator semantics: a semantic intermediate r…

cs.PL2026

Towards Relating Ciao Assertions and LPTP Theorems

Marco Pérez, Pedro López-García, Jose F. Morales +2

Abstract interpretation-based verification is a central component of the Ciao Prolog system, enabling expressive specifications of properties of programs, predicates, and execution…

cs.PL2026

Big-step and small-step Horn clause derivations applied to operational semantics

John P. Gallagher, Manuel Hermenegildo, José Morales +2

The concepts of big-step and small-step derivations are familiar from the operational semantics of programming languages. These concepts are applicable in the more general setting…

cs.PL2026

Exploiting Multiple Abstract Call Patterns for Optimizing Run-Time Checks

Daniela Ferreiro, Daniel Jurjo-Rivas, Marco Ciccalè +3

In strongly-typed languages, types are verified at compile time, while dynamically typed languages, such as Prolog, perform type consistency checks entirely at run-time. Extending…

cs.PL2025

Hiord#: An Approach to the Specification and Verification of Higher-Order (C)LP Programs

Marco Ciccalè, Daniel Jurjo-Rivas, Jose F. Morales +2

Higher-order constructs enable more expressive and concise code by allowing procedures to be parameterized by other procedures. Assertions allow expressing partial program specific…

cs.PL2024★ 2 cited

Abstract Environment Trimming

Daniel Jurjo-Rivas, Jose F. Morales, Pedro López-García +1

Variable sharing is a fundamental property in the static analysis of logic programs, since it is instrumental for ensuring correctness and increasing precision while inferring many…