GLOSSARY OF TERMS
Digital Engineering is an integrated approach that uses authoritative models and system data as a continuous, shared resource across disciplines to support all lifecycle phases from concept through disposal. It enables real-time collaboration and informed decision-making through connected digital threads.
A Digital Engineering Ecosystem (DEE) is a comprehensive, interconnected environment that includes the infrastructure, tools, processes and methods used to store, access, analyze and visualize evolving system data and models across the full system lifecycle. It extends beyond technology to incorporate the human element, collaborative networks and an overarching framework that enables the continuous exchange of authoritative digital artifacts.
A digital thread is a connected, data-driven linkage that creates a seamless flow of information across a product's entire lifecycle, from design to disposal. It acts as a continuous, traceable stream of digital data, breaking down silos and enabling better decision-making and collaboration.
Digital transformation is the fundamental change in how an organization operates, delivers value to customers and interacts with its ecosystem, by strategically integrating digital technologies across all aspects of its business. This goes beyond simply adopting new tech; it involves reimagining business processes, culture and customer experiences to meet evolving market demands and foster continuous innovation.
A digital twin is a virtual model or replica of a real-world physical product, system or process. It is continuously updated with real-time data from sensors and other sources on its physical counterpart. This synchronized, dynamic connection allows the digital twin to accurately simulate the behavior, performance and status of the physical entity throughout its lifecycle.
An MBSE Tool is a software application designed to create, manage, analyze and visualize system models in accordance with a specified modeling language and often in support of a particular MBSE method. These tools provide the digital environment where the models are built, enabling functionalities such as diagramming, simulation, consistency checking, requirements traceability and report generation. Unlike general drawing applications, MBSE tools enforce the rules and semantics of the underlying modeling language, ensuring the models are formally structured and interconnected.
MBSE training refers to structured learning programs designed to equip engineers, analysts and project stakeholders with the knowledge and skills needed to apply Model-Based Systems Engineering methods, tools and languages effectively throughout a system lifecycle.
Model-Based Systems Engineering (MBSE) is a formalized approach that uses structured digital models as the primary means of representing and exchanging system information throughout the engineering lifecycle. Instead of relying on static, document-based methods, MBSE uses interconnected digital models to drive key engineering activities such as requirements capture, design, analysis, verification and validation. These models act as a single source of truth, promoting consistency, improving communication, enabling early issue detection and enhancing traceability across all system disciplines and phases.
The OMG Certified Systems Modeling Professional (OCSMP) Certification is an industry-recognized credential awarded by the Object Management Group (OMG). It rigorously assesses and validates an individual's knowledge and proficiency in using the Systems Modeling Language (SysML) and applying Model-Based Systems Engineering (MBSE) principles to the design, analysis, verification and validation of complex systems. The OCSMP program is structured across multiple levels, each demonstrating increasing expertise in interpreting, constructing and leading SysML-based MBSE efforts. This certification serves as a benchmark for SysML and MBSE knowledge, enhancing the professional standing of systems engineers and other practitioners who contribute to model-based systems engineering projects.
Systems Engineering (SE) is an interdisciplinary field of engineering and engineering management that focuses on designing, integrating and managing complex systems throughout their entire lifecycle. It takes a holistic approach, considering all aspects and stakeholders to ensure a successful, well-balanced solution that meets defined needs and functions as a cohesive whole.
A Systems Engineering Method defines how systems engineering activities are performed and what artifacts are produced. It represents a structured set of related processes, techniques and tools that support the practice of systems engineering—often within a model-based context.
SysML (Systems Modeling Language) is a standardized, graphical language used to specify, design, analyze and verify complex systems. Governed by the Object Management Group (OMG), it supports model-based systems engineering (MBSE) by enabling the visualization of system requirements, structure, behavior and performance. SysML helps engineers create integrated models that support analysis, validation and communication across the system lifecycle.