Ace the SQA National 5 Computing Science Exam 2025 – Code Your Way to Success!

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What is the purpose of decomposition in problem solving?

To encrypt sensitive information

To merge several complex problems into one

To break down a complex problem into smaller, more manageable parts

The purpose of decomposition in problem solving is to break down a complex problem into smaller, more manageable parts. This approach helps simplify the problem, making it easier to analyze and solve. When a complex issue is divided into simpler components, each part can be addressed individually, allowing for a more structured and methodical approach to finding a solution. This technique can enhance clarity and focus, enabling the solver to tackle each segment without feeling overwhelmed by the complexity of the entire problem.

Using decomposition can also facilitate collaboration, as different team members can work on different parts of the problem simultaneously. Additionally, it can improve debugging and testing efforts, as each smaller piece can be assessed on its own before integrating it back into the larger system. Overall, decomposition is a fundamental strategy in problem-solving that supports effective analysis and implementation of solutions.

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To test the performance of software

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