Modellalapú

Modellalapú is a Hungarian term used to describe approaches that rely on explicit models of systems to guide analysis, design, and decision making. In English, it is often translated as model-based. The concept contrasts with methods that depend primarily on empirical testing, experimentation, or ad hoc reasoning.

A central idea is that a model acts as a normative representation of a system's behavior, structure, and constraints. Models may be mathematical equations, simulations, or data-driven representations. They enable simulation, verification, and optimization before building or altering a real system, and can generate artifacts such as code, tests, or documentation.

Model-based approaches are widespread across engineering and software development. In engineering, model-based design and model-based development use simulations to design and validate controllers, hardware, and embedded software. In manufacturing and systems engineering, digital twins and model-driven engineering embody modellalapú practices; in artificial intelligence, model-based reasoning uses explicit models of domains.

Limitations include the need for accurate models, the cost of developing and maintaining them, and potential gaps between models and real systems. Tool integration, data quality, and domain expertise influence success. When applied appropriately, modellalapú methods can reduce development time, improve quality, and support traceability and reusability.