Abstract | ||
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Feature model is an important model of capturing domain requirements. The traditional feature modeling methods extract the characteristics from the extension of the system. However, the methods fail to describe feature in details especially for embedded software product line engineering. As for these deficiencies, this paper combines the characteristics of the embedded products, with the domain ontology as the basis of feature modeling, dividing the feature modeling into building domain ontology and the feature analysis. First, it will identify the concept of mutual recognition through acquiring. describing and denoting the related domain knowledge. Then, it will divide the feature into three parts which are concept, attribute and the relation, and describe the feature from connotation and extension. It defines and normalizes feature in a clear way. Finally, the effectiveness of the proposed modeling method will be verified through a ventilator embedded product line. |
Year | Venue | Keywords |
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2015 | 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | Feature Modeling, Concept, Domain, Embedded product line |
Field | DocType | Citations |
Domain analysis,Data mining,Domain engineering,Embedded software,Feature-oriented domain analysis,Domain knowledge,Computer science,Feature model,Artificial intelligence,Domain model,Pattern recognition (psychology),Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guanzhong Yang | 1 | 5 | 1.23 |
Yaru Zhang | 2 | 0 | 0.34 |