Memorias de investigación
Ponencias en congresos:
Assertion-based Debugging of Higher-Order (C)LP Programs
Año:2014

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Higher-order constructs extend the expressiveness of firstorder (Constraint) Logic Programming ((C)LP) both syntactically and semantically. At the same time assertions have been in use for some time in (C)LP systems helping programmers detect errors and validate programs. However, these assertion-based extensions to (C)LP have not been integrated well with higher-order to date. This paper contributes to filling this gap by extending the assertion-based approach to error detection and program validation to the higher-order context within (C)LP. We propose an extension of properties and assertions as used in (C)LP in order to be able to fully describe arguments that are predicates. The extension makes the full power of the assertion language available when describing higher-order arguments. We provide syntax and semantics for (higher-order) properties and assertions, as well as for programs which contain such assertions, including the notions of error and partial correctness. We also discuss several alternatives for performing run-time checking of such programs.
Internacional
Si
Nombre congreso
16th International Symposium on Principles and Practice of Declarative Programming PPDP 2014
Tipo de participación
960
Lugar del congreso
Canterbury, UK
Revisores
Si
ISBN o ISSN
978-1-nnnn-nnnn-n/yy/mm
DOI
Fecha inicio congreso
08/09/2014
Fecha fin congreso
10/09/2014
Desde la página
1
Hasta la página
15
Título de las actas
Proceedings of the 16th International Symposium on Principles and Practice of Declarative Programming PPDP 2014

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial