**Description:** Model-Based Systems Engineering (MBSE) is an approach that uses models to support the system lifecycle, from conception to operation and maintenance. This approach allows for a visual and structured representation of the different aspects of a system, facilitating understanding, analysis, and communication among various stakeholders. By creating models, behaviors can be simulated, requirements evaluated, and impact analyses conducted, contributing to more informed decision-making. MBSE is based on the premise that models are powerful tools for capturing the complexity of modern systems, which often involve multiple disciplines and technologies. Additionally, it promotes model reuse and process standardization, which can lead to greater efficiency and cost reduction in system development. This approach has become increasingly relevant in a world where systems are becoming more complex and where collaboration among multidisciplinary teams is essential for project success.
**History:** Model-Based Systems Engineering (MBSE) began to take shape in the 1990s when the need to manage the increasing complexity of systems led to the adoption of more visual and structured approaches. One significant milestone was the creation of modeling languages such as UML (Unified Modeling Language) in 1997, which provided a standardized framework for representing systems. Over the years, MBSE has evolved with the incorporation of tools and methodologies that allow for simulation and analysis of systems, such as SysML (Systems Modeling Language), introduced in 2006. The adoption of MBSE has grown in sectors such as defense, automotive, aerospace, and beyond, where the complexity and interconnection of systems are critical.
**Uses:** Model-Based Systems Engineering (MBSE) is used across various industries to manage system complexity. Its applications include software development, defense systems engineering, automotive, aerospace, and product engineering. In these fields, MBSE enables teams to collaborate more effectively, align requirements and objectives, and conduct impact analyses before implementation. It is also used for system simulation, requirements validation, and process documentation, improving the quality and efficiency of development.
**Examples:** A practical example of MBSE is the development of aircraft control systems, where models are used to simulate system behavior under different flight conditions. Another case is the design of autonomous vehicles, where models are applied to validate navigation and control algorithms. In the software domain, MBSE is used to create architecture models that facilitate communication between developers and designers, ensuring that all aspects of the system align with customer requirements.
