Evaluation and Comparison Framework for Data Modeling Languages

There are many data modeling languages used in information systems which differ from each other in different aspects. The scope of this paper is to understand and to give the reasons that what makes some modeling languages successful in certain contexts and not applicable or weak in others. This study focuses on compare and evaluates data modeling languages that lead developer to the exposure the benefit of using an application in multiple environments. In order to do this, this paper proposed a framework to compare and evaluate some widely used languages such as EER, UML class diagram, and XML. The framework contains three phases; the first contains a text description of these languages and their capabilities. The second contains a uniform example used and applied to them. In the final, the values of evaluation are recorded by using the framework matrix. The criteria that used is the conceptual modeling and their characteristics, notation and its properties, the pragmatics and practice. The weight of each criterion determines its importance and the grades that specifies the conformity of the criteria were based on surveys, researches, and laboratory, and was conducted at the Northern Technical University -Iraq.