Tools for constraint visualization: The VIFID/TRIFID tool

Carro Liñares, Manuel y Hermenegildo, Manuel V. (2000). Tools for constraint visualization: The VIFID/TRIFID tool. En: "Analysis and Visualization Tools for Constraint Programming". Lecture Notes in Computer Science (1870). Springer Berlin Heidelberg, pp. 253-272. ISBN 9783540411376. https://doi.org/10.1007/10722311_11.

Descripción

Título: Tools for constraint visualization: The VIFID/TRIFID tool
Autor/es:
  • Carro Liñares, Manuel
  • Hermenegildo, Manuel V.
Editor/es:
  • Deransart, Pierre
  • Hermenegildo Salinas, Manuel Vicente
  • Małuszynski, Jan
Tipo de Documento: Sección de Libro
Título del Libro: Analysis and Visualization Tools for Constraint Programming
Fecha: Septiembre 2000
ISBN: 9783540411376
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Visualization of program executions has been used in applications which include education and debugging. However, traditional visualization techniques often fall short of expectations or are altogether inadequate for new programming paradigms, such as Constraint Logic Programming (CLP), whose declarative and operational semantics differ in some crucial ways from those of other paradigms. In particular, traditional ideas regarding the behavior of data often cannot be lifted in a straightforward way to (C)LP from other families of programming languages. In this chapter we discuss techniques for visualizing data evolution in CLP. We briefly review some previously proposed visualization paradigms, and also propose a number of (to our knowledge) novel ones. The graphical representations have been chosen based on the perceived needs of a programmer trying to analyze the behavior and characteristics of an execution. In particular, we concéntrate on the representation of the run-time valúes of the variables, and the constraints among them. Given our interest in visualizing large executions, we also pay attention to abstraction techniques, i.e., techniques which are intended to help in reducing the complexity of the visual information.

Más información

ID de Registro: 14571
Identificador DC: http://oa.upm.es/14571/
Identificador OAI: oai:oa.upm.es:14571
Identificador DOI: 10.1007/10722311_11
URL Oficial: http://link.springer.com/chapter/10.1007%2F10722311_11
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 01 Mar 2013 07:35
Ultima Modificación: 21 Abr 2016 14:18
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