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An evaluation of ontology based domain analysis for model driven development
Anhui University, Hefei, China.
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway .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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2015 (English)In: International Journal on Semantic Web and Information Systems, ISSN 1552-6283, E-ISSN 1552-6291, Vol. 11, no 4, 41-63 p.Article in journal (Refereed) Published
Abstract [en]

Although Domain Analysis DA is important for Model Driven Development MDD, traditional DA methods are demanding and not practical in many situations. When computer games are developed, game design problem domain is usually decided in a gradual way within iterations where software prototypes are constructed and playtest are performed. In such a case, it is not practical to fit a heavyweight DA in the highly iterative process. Researchers indicated that vocabularies were expected to automate game design. Such vocabularies can be reused in another form in DA tasks. In this research, the authors developed an ontology and a DA procedure based on it. To evaluate them, theoretical analysis, case studies, and a user acceptance survey were used. The results indicated that the ontology met the general requirement as a domain vocabulary, and it enhanced the DA process in an expected way. Most of external potential users 46 in total considered the ontology useful and easy to use.

Place, publisher, year, edition, pages
IGI Global, 2015. Vol. 11, no 4, 41-63 p.
Keyword [en]
Computer Game; Domain Analysis; Domain Specific Modeling (DSM); Game Development; Model Driven (Software) Development (MDD); Ontology; Pervasive Game
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-53102DOI: 10.4018/IJSWIS.2015100102ISI: 000370264600002Scopus ID: 2-s2.0-84958960489OAI: oai:DiVA.org:oru-53102DiVA: diva2:1039184
Available from: 2016-10-21 Created: 2016-10-21 Last updated: 2017-10-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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  • de-DE
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Output format
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