In computer science, what is a model?

A model in computer science serves as a simplified representation of a real system, allowing for analysis, testing, and understanding of the system's behavior without needing to replicate every detail of the actual environment. This abstraction helps researchers and developers to focus on key elements and interactions within the system. By using a model, one can simulate various scenarios, carry out experiments, and derive insights that inform decision-making or further developments.

While some options describe different concepts related to systems or products, they do not capture the essence of modeling in computer science. For instance, a complex real-world system may inform a model, but it does not define it. An exact copy of a system would imply a full replication, which contradicts the purpose of a model being a simplified representation. Additionally, a successful product developed through real-world testing refers more to the outcomes of applying various models rather than the models themselves. Thus, the correct understanding of a model as a simplified representation aligns perfectly with how it is used in the context of computer science.