Understanding Decomposition in Computing

What is the primary purpose of decomposition in computational thinking?

• To make a problem more complex

• To break down a complex task into simpler subtasks

• To eliminate the need for debugging

• To increase the size of the code

Which of the following is a benefit of using decomposition in coding?

• It makes the code run faster

• It allows for easier error detection and debugging

• It reduces the need for documentation

• It increases the number of lines of code

What is another term often used to describe the process of decomposition?

• Merge and conquer

• Divide and conquer

• Simplify and solve

• Break and build

In the context of decomposition, what is a subroutine?

• A large program that solves multiple problems

• A small section of code that focuses on one part of the problem

• A debugging tool

• A type of error in the code

How can decomposition aid in the reuse of code?

• By making the code more complex

• By creating subroutines that can be used in similar problems

• By increasing the number of variables

• By reducing the need for functions

Which of the following is NOT a characteristic of decomposition?

• Breaking down tasks into smaller parts

• Focusing on one part of the problem at a time

• Making the problem more difficult to solve

• Facilitating error detection

Why is decomposition sometimes referred to as "divide and conquer"?

• Because it involves dividing resources

• Because it involves breaking down a problem to solve it more easily

• Because it requires conquering multiple problems at once

• Because it is a military strategy

What is the main advantage of using subroutines in a large project?

• They make the project more complex

• They allow for easier management and debugging

• They increase the number of errors

• They reduce the need for testing

How does decomposition help in managing large codebases?

• By increasing the number of lines of code

• By dividing the code into manageable sections

• By eliminating the need for comments

• By making the code less readable

What is a common outcome of not using decomposition in problem-solving?

• The problem becomes easier to solve

• The code becomes more organised

• The problem remains complex and difficult to manage

• The code runs faster