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...e model evaluation metrics were defined in aim to enable comparison of equivalent models in order to direct designer toward a better design [18]. These metrics are quantitative-based, i.e., based on a number of entities, relationships and attributes with certain characteristics [27], complexity of elements and a model [18, 28]. Qualitative-based metrics for quality characteristics could be used for checking completeness, integrity, flexibility, correctness, simplicity, integration implements-ability [24] and preciseness, completeness, consistency, reliability, timeliness, uniqueness, validity [26]. Ontology-based metrics [21] are structure-based and content-based. At last, behavioural-based metrics deal with applicability, maintainability, correctness and performances. Analysis of recent research results in the evaluation of CDM [25] includes over 50 various proposals to conceptual data modelling evaluation. Less than 20% of the presented methods were empirically validated and none of them is widely accepted in a professional environment. The presented methods mostly focus on error detection and they show lack of measurements metrics and evaluation procedures, agreement of terminology,...