Think of a function like a recipe. Just like how a recipe tells you step-by-step how to make a dish, a function tells a computer what it needs to do to perform a specific task.
Function decomposition is like breaking down a recipe into smaller, simpler steps that are easier to understand and follow. It's like dividing up the recipe into smaller recipes, where each smaller recipe focuses on one small part of the dish.
For example, if you were making a cake, you might break down the recipe into smaller recipes for making the cake batter, making the frosting, and assembling the cake layers. Each smaller recipe focuses on one step of the overall process and helps make it easier to understand and execute.
Similarly, in programming, function decomposition breaks down a larger function into smaller, more manageable functions that each perform a specific task. This makes it easier to write code, debug errors, and improve the efficiency of the program overall.
Overall, function decomposition helps to simplify complex processes by breaking them down into smaller, more manageable parts.