A Suitability Measure Approach of Domain Models Based on Semantic Association

Domain models can provide a helpful assistance to analyze and construct domain applications. So the quality of domain models is vital for reuse. But the domain models established by domain experts may be out of date for technology promotion, environment change and so on, which will hinder the reuse of them unavoidably. So keep an eye on the quality of domain models is important. The focus of this research is how to measure the suitability of domain models based on the semantic association established during the using stage. Through different metric, it can provide the measurement of deficiency risk, failure risk and usage frequency. The measurement result can also be used as criteria of domain evolution which can promote the objectiveness of evolution.