LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Ontology Development for the Domain of Software Requirement Elicitation Technique

Photo from wikipedia

Domain ontology is the ontology of describing domain-specific objects, it provides definitions of the concepts in a specific domain, as well as the relationships between them. 5W1H analysis method is… Click to show full abstract

Domain ontology is the ontology of describing domain-specific objects, it provides definitions of the concepts in a specific domain, as well as the relationships between them. 5W1H analysis method is widely utilized to give a comprehensive and delicate analysis to a specific issue. The Hierarchical Modelling Methods which includes: Button-Up, Top-Down and Middle-Out is used to model concepts. These conceptual modelling methods solved the real problem in different application domain, but they did not give an analysis and extraction method for concepts and relations in domain ontology, especially large and complex ones, and not present a general modelling method suitable for all kinds of domain ontology. Domain ontology for software requirement elicitation is developed using 5W1H approach, the ontology specify concepts (classes) and relations between the concepts in software requirement elicitation domain. The 5W1H approach helped in extracting and analyzing concepts and relations within the domain of discourse. In this project, 5W1H conceptual modelling method is used for classifying the concepts in the software requirement elicitation domain, the concepts in the domain were extracted from six interrogative elements of 5W1H, which include: Who, When, Where, What, Why and How, and relations between those concepts is built.

Keywords: software requirement; requirement elicitation; ontology; domain

Journal Title: International journal of engineering research and technology
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.