Research Article
Towards a new requirements’ definition methodology using ontologies for Pervasive Games Based Learning Systems
@ARTICLE{10.4108/eai.4-1-2018.153533, author={Yemna Mejbri and Maha Khemaja and Kaouther Raies}, title={Towards a new requirements’ definition methodology using ontologies for Pervasive Games Based Learning Systems}, journal={EAI Endorsed Transactions on Serious Games}, volume={4}, number={14}, publisher={EAI}, journal_a={SG}, year={2018}, month={1}, keywords={Pervasive Games based Learning Systems, Ontology, Requirements Engineering, Analysis technique, Game Theory.}, doi={10.4108/eai.4-1-2018.153533} }
- Yemna Mejbri
Maha Khemaja
Kaouther Raies
Year: 2018
Towards a new requirements’ definition methodology using ontologies for Pervasive Games Based Learning Systems
SG
EAI
DOI: 10.4108/eai.4-1-2018.153533
Abstract
Since a Pervasive Games Based Learning System (PGBLSs) is considered as technology enhanced learning system, it becomes important to enhance the development process. Despite the growing presence of mobile devices and the wireless network communication technologies, users needs satisfaction is particularly challenging due to problems arising from the highly dynamic environments in which services will operate. We propose, in this paper, a semantic model driven requirements engineering process in order to improve the development of PGBLSs. This model is based on an ontology of requirements (RO) as a powerful formalism to assist requirements' analysts for fulfilling changing requirements in PGBLSs dynamic contexts. In such environments, analysts have to establish the relative priorities of requirements for resolving conflicting requests. For this issue, a requirements analysis technique is also proposed.
Copyright © 2018 Yemna MEJBRI et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.