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The automated generation of class diagrams is a crucial task in software engineering, facilitating the understanding, analysis, and documentation of complex software systems. Traditional manual approaches are time and energy consuming, error-prone, and lack consistency. To address these challenges, this research presents an automated proposed approach that utilizes Graph Neural Networks (GNNs), a machine learning algorithm, to generate class diagrams from source code within the context of Model Driven Architecture (MDA) and reverse engineering. A comprehensive case study is conducted to compare the results obtained from the automated approach with manually created class diagrams. The GNN model demonstrates high accuracy in capturing the system’s structure, associations, and relationships. Notably, the automated approach significantly reduces the time required for class diagram generation, leading to substantial time and energy savings. By advancing automated software documentation, this research contributes to more efficient software engineering practices. It promotes consistency, eliminates human errors, and enables software engineers to focus on higher-value tasks. Overall, the proposed approach showcases the potential of GNNs in automating class diagram generation and its practical benefits for software development and documentation.

The model transformation has become a big defiance in the Model-Driven Architecture (MDA) approach. For that, the Object Management Group (OMG) aims at defining a normative framework for this approach by proposing three abstraction levels; CIM (the higher level), PIM (the average level) and PSM (the lower level). In this paper, we focus on the construction of the CIM level, which is considered as an important and most complex level. Our challenge is to produce a consistent CIM level for the e-business information system, by proposing our disciplined model-driven approach based method, transforming the E3value model to BPMN diagrams automatically. Therefore, the E3value model represents the Business Value Model, whereas, the BPMN diagrams express the new version of the Business Process Model and notation diagrams and are represented by the BPMN Conversation diagram, BPMN Choreography diagram, and BPMN Collaboration diagram. For our proposal, the transformation is done automatically using the Atlas Transformation Language (ATL). [ABSTRACT FROM AUTHOR]

The models transformation is the fundamental key in Model Driven Architecture approach. In Model Driven Architecture there are two transformations kinds: the CIM to PIM transformation and the PIM to PSM transformation. The researchers focused on the transformation from PIM level to PSM level, because there are several points in common between these two levels. However, the transformation from CIM level to PIM level is rarely discussed in research subjects because they are two completely different levels. This paper proposes a model transformation method to master the transformation from CIM to PIM web-based in accordance with the Model Driven Architecture approach. Indeed, the main value of this method is to propose a transformation from business-oriented models to web-oriented models. This method is founded on building a good CIM level via well-defined rules, allowing us to win precious models that facilitate the task of the transformation from CIM to PIM web-based. Then, we define a set of well- selected rules to move from CIM to PIM web-based so as to ensure a semi-automatic transformation. This method conforms to MDA recommendations by considering the business dimension in the CIM level, and by modeling this latter level using UML activity diagram which is one of OMG standards for modeling business process. Nevertheless, we used UML models into the PIM level, because UML is recommended by MDA in this level. [ABSTRACT FROM AUTHOR]