Title :
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Author :
Kaiya, Haruhiko ; Saeki, Motoshi
Author_Institution :
Shinshu Univ., Nagano
Abstract :
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We propose a new requirements elicitation method ORE (ontology based requirements elicitation), where a domain ontology can be used as domain knowledge. In our method, a domain ontology plays a role on semantic domain which gives meanings to requirements statements by using a semantic function. By using inference rules on the ontology and a quality metrics on the semantic function, an analyst can be navigated which requirements should be added for improving completeness of the current version of the requirements and/or which requirements should be deleted from the current version for keeping consistency. We define this process as a method and evaluate it by an experimental case study of software music players
Keywords :
formal specification; formal verification; ontologies (artificial intelligence); domain knowledge; domain ontology; ontology based requirements elicitation; semantic function; Humans; Information systems; Natural language processing; Natural languages; Navigation; Ontologies; Performance analysis; Software quality; Thesauri;
Conference_Titel :
Requirements Engineering, 14th IEEE International Conference
Conference_Location :
Minneapolis/St. Paul, MN
Print_ISBN :
978-0-7695-2555-6