Behavioral and Structural Model Composition Techniques: State of Art and Research Directions

MDA allows developers to build models without knowledge of other models in the system and then combine those models to create a system community in order to handle the complexity of a model-driven design process. In this context, we assert that developers need support for composing and manipulating their models to expose how elements of functionality relate to one other. To address this need, we present in this paper the state of art of model composition techniques based on earlier works by focusing on the various parameters that governed and characterize their behavior, then we describe the results of this survey on the future use of composing UML class diagrams based on the two-Hemisphere Model driven approach. The motivation for this study derives from the desirability of discovering more and new effective ways in reusing or adapting the existing methods to create a novel composer framework involving in the MDA concept and answering the key criteria of model composition.