Memorias de investigación
Ponencias en congresos:
Requirements behaviour analysis for ontology testing
Año:2018

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
In the software engineering field, every software product is delivered with its pertinent associated tests which verify its correct behaviour. Besides, there are several approaches which, integrated in the software development process, deal with software testing, such as unit testing or behaviour-driven development. However, in the ontology engineering field there is a lack of clearly defined testing processes that can be integrated into the ontology development process. In this paper we propose a testing framework composed by a set of activities (i.e., test design, implementation and execution), with the goal of checking whether the requirements identified are satisfied by the formalization and analysis of their expected behaviour. This testing framework can be used in different types of ontology development life-cycles, or concerning other goals such as conformance testing between ontologies. In addition to this, we propose an RDF vocabulary to store, publish and reuse these test cases and their results, in order to allow traceability between the ontology, the test cases and their requirements. We validate our approach by integrating the testing framework into an ontology engineering process where an ontology network has been developed following agile principles.
Internacional
Si
Nombre congreso
21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018)
Tipo de participación
960
Lugar del congreso
Nancy, Francia
Revisores
Si
ISBN o ISSN
978-3-030-03667-6
DOI
Fecha inicio congreso
12/11/2018
Fecha fin congreso
16/11/2018
Desde la página
114
Hasta la página
130
Título de las actas
Proceedings of the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), LNAI 11313

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial