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abstraction

• Removing unnecessary detail
• Simplifying a complex problem
• Focussing on only the necessary/main parts

benefits of abstraction

• Reduces programming time

• Reduces complexity of code (through abstraction by generalisation)

• Reduces amount of memory required / computational power

• Simplifies the problem so it's easier to solve / understand (by recognising common patterns)

• Allows programmers to focus on core aspects of the problem

representational abstraction?

• analysing what is relevant

• and simplifying a problem

• based on that

abstraction by generalisation

• grouping together similarities within a problem to

• identify what kind of problem it is

allows certain problems to be categorised as being of a particular type

Data abstraction

• details about how data is being stored are hidden

• programmers make use of abstract data structures (stacks / queues)

• without needing to know how the structures are implemented

procedural abstraction

• used in decomposition

• models what a subroutine does without considering how its done

levels of abstraction

• highest levels = are closest to the user , responsible for the interface for user to interact with hardware

• lowest levels of abstraction = responsible for performing these tasks through machine code

need for abstraction

• networking and programming languages-

• High-level languages: provide an abstraction for the machine code

• layers in networks are abstracted data from each other

difference between abstraction and reality

• Abstraction is a simplified representation of reality

• through variables, tables and databases