Model-Based Systems Engineering (MBSE) is an approach to system engineering that emphasizes the use of models to:
- Communicate system requirements, designs, and behavior throughout the entire system development lifecycle.
Ultimately, MBSE uses different modelling techniques, tools, and notations to capture and manage system information in a structured and integrated manner.
Key aspects and benefits of Model-Based Systems Engineering
Model-Based Systems Engineering employs standardized modeling languages and notations, such as Unified Modeling Language (UML), Systems Modeling Language (SysML), or specific domain-specific languages (DSLs), to represent the system architecture, requirements, behavior, and other aspects.
These graphical notations provide a common language for system engineers, stakeholders, and developers to communicate and understand system concepts.
- MBSE covers the entire system lifecycle, from concept development to system retirement. It facilitates requirements analysis, system design, verification and validation, integration, and maintenance by using consistent models that can be refined and updated as the system evolves.
- MBSE also enables the integration and coordination of multiple system components and subsystems by creating a model that captures the relationships, interfaces, and interactions between them. It helps identify potential issues early in the development process and supports effective collaboration among team members.
- MBSE promotes the generation of accurate and consistent system documentation directly from the models. System models can be transformed into various documentation formats and can enable effective communication among stakeholders, including engineers, customers, and management.
- MBSE supports change management by allowing engineers to evaluate the impact of proposed changes on the system model. By updating the models, engineers can assess the implications of changes on various system aspects, helping towards informed decision-making.
MBSE provides numerous benefits, including improved system understanding, increased productivity, reduced errors, enhanced collaboration, and better traceability. By using models as a central artifact, MBSE helps mitigate risks, improve system quality, and enable efficient development and maintenance of complex systems.