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Ontology-Based Domain Analysis for Model Driven Pervasive Game Development
School of Business, Anhui University, China.
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-3722-6797
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
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2018 (English)In: Information Science and Technology, ISSN 2078-2489, E-ISSN 2078-2489, Vol. 9, no 5, article id 109Article in journal (Refereed) Published
Abstract [en]

Domain Analysis (DA) plays an important role in Model Driven Development (MDD) and Domain-Specific Modeling (DSM). However, most formal DA methods are heavy weight and not practical sometimes. For instance, when computer games are developed, the problem domain (game design) is decided gradually within numerous iterations. It is not practical to fit a heavy-weight DA in such an agile process. In this research, we propose a light-weight DA which can be embedded in the original game development process. The DA process is based on a game ontology which serves for both game design and domain analysis. In this paper, we introduce the ontology and demonstrate how to use it in the domain analysis process. We discuss the quality and evaluate the ontology with a user acceptance survey. The test result shows that most potential users considered the ontology useful and easy to use.

Place, publisher, year, edition, pages
MDPI , 2018. Vol. 9, no 5, article id 109
Keywords [en]
Model Driven (Software) Development (MDD), Domain-Specific Modeling (DSM), ontology, domain analysis, computer game, pervasive game, game development
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-68077DOI: 10.3390/info9050109ISI: 000436150100008Scopus ID: 2-s2.0-85046632404OAI: oai:DiVA.org:oru-68077DiVA, id: diva2:1235265
Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2018-07-25Bibliographically approved

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Citation style
  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf