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.
An environment closer to production where final testing and validation occur.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected.
The process of running a system for an extended period to detect early failures and ensure reliability.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
Human in the Loop (HITL) integrates human judgment into the decision-making process of AI systems.
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential.
A preliminary version of a project or system used to test and validate its feasibility before full-scale implementation.