What does abstraction aim to improve in computer science?

Abstraction in computer science is a fundamental concept aimed at simplifying complex systems by reducing the amount of detail that the user needs to handle. It allows developers to focus on high-level structures and functionalities without getting bogged down by the intricate workings of the underlying code. By using abstraction, programmers can understand and manipulate systems more effectively, as they can work with generalized representations that encapsulate the essential features and behaviors of those systems without having to know all the specifics.

In a practical sense, abstraction improves understanding by providing interfaces or models that hide unnecessary implementation details. This enables programmers to make use of large libraries or frameworks with ease, as they can interact with objects or functions through a simplified interface rather than needing to understand the complete codebase. This leads to cleaner, more manageable code and enhances collaboration, as different team members can work at different levels of the system without requiring exhaustive knowledge of each component's implementation.

The other options present concepts that do not align with the primary goal of abstraction. For instance, providing details on irrelevant features does not support the purpose of abstraction, which is to discard unnecessary information. Similarly, while memory efficiency and visual representation may play roles in specific contexts, they are not the primary focus of abstraction. Abstraction primarily aims at enhancing