MBSE
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.
A strategy where a team plays the role of an adversary to identify vulnerabilities and improve the security and robustness of a system.
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations.
The mathematical study of waiting lines or queues.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
A usability testing method where users interact with a system they believe to be autonomous, but which is actually operated by a human.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements.
Artificially generated data that mimics real data, used for training machine learning models.