MODELING TOOLS FOR EFFICIENT ARCHITECTURE
The system architecture approach ideally relies on the use of modeling tools to better formalize and capitalize on the work carried out. A comprehensive MBSE (Model-Based Systems Engineering) approach requires both structuring the architecture and a modeling effort.
The CESAM methodology provides the essential foundation for architecture work: it specifies the analyses to be performed, the diagrams to be constructed, and the problems to be addressed. The structure offered by this architectural framework guarantees the completeness of the analyses.
To implement this architecture in models, numerous MBSE tools are available, each with its own specificities. Some incorporate their own methodology, while others offer the user the freedom to structure the model according to their needs.
MBSE tools are software programs designed to structure and automate the modeling of complex systems. They centralize and visualize the various dimensions of a system’s architecture, facilitating analysis, communication, and decision-making throughout the project lifecycle. These tools contribute to a more rigorous and consistent MBSE approach by offering functionalities tailored to the specific needs of systems engineering.
Here are the main MBSE tools used by our clients. For each tool, the vendor, the modeling language used, and any integration with a system architecture methodology are specified. The latter does not affect compatibility with the CESAM method, which is highly consistent in all cases.
When choosing a tool, other criteria are important, such as the possibility of continuity with other tools, ergonomics, and price.
| MBSE Tools | Vendor | Modeling language | Built-in Methodology |
|---|---|---|---|
| Catia Magic | Dassault Systèmes | SysML, UML, BPMN… | None |
| Rhapsody | IBM | SysML, UML, BPMN… | None |
| Xatis | Safran Engineering Services | Proprietary language | CESAM |
| Capella | Thalès / Obeo | SysML, UML, BPMN… | Arcadia |
| Enterprise Architect | Sparx Systems | Proprietary language | None |
In our approach, we make a point of distinguishing the intention of modeling from its implementation in the tools. Although each modeling tool has its own specificities—sometimes even within the same company—the intention remains constant, guided by the system architecture framework and methodology.
The CESAM framework is designed with a limited number of essential concepts, making it simple and compatible with all modeling tools. This simplicity makes it easy to map to MBSE tools, without encountering modeling language limitations.
By leveraging the CESAM framework, teams can focus on their architectural thinking without being burdened by the complexities of MBSE tool languages, which are often modeling-oriented rather than architecture-oriented. This promotes clear, structured thinking that is independent of the tools’ conceptual limitations.
The CESAM framework provides a stable approach that withstands frequent changes to MBSE tools. By leveraging this framework, teams can adapt to technological developments without having to change their fundamental working methods, ensuring continuity in the approach.
The framework acts as a common reference that facilitates communication and collaboration between teams, even when using different tools. By projecting the specific elements of each tool onto the CESAM framework, teams share a common vision of the architecture, ensuring consistency across the project while simplifying communication.
A well-organized structure is essential so that every user immediately understands the content and intent of each section of the template. Clearly defined folders and categories facilitate navigation, ensure consistency, and allow the team to easily find relevant elements.
A well-thought-out modeling strategy is essential to ensure model clarity and effectiveness. This includes accurately defining objects and relationships based on the architectural framework, using stereotypes where necessary. This approach reduces complexity, minimizes errors, and helps maintain a simple, tool-friendly metamodel.
Documenting best practices, naming conventions, and modeling rules is crucial for aligning the entire team on a uniform approach. Communicating these rules and training new members ensures consistency in the tool’s use across projects, strengthening the overall quality of the model.
Effective modeling requires the creation of readable and well-organized diagrams. The judicious use of shapes, colors, and spatial arrangement, along with an appropriate level of abstraction, helps make diagrams more accessible and understandable for all stakeholders.
Finally, it is important to ensure traceability of requirements and decisions, encourage the reuse of elements, ensure version management, and regularly test the model’s consistency. These practices help maintain a robust, sustainable model that adapts to project developments.
