What test cases will you use for this algorithm?

It is important for an algorithm to cover different scenarios with tests to ensure correctness and stability.

Main types of test cases:

• Positive tests: checking correct operation on valid input data.
• Negative tests: checking behavior with incorrect or boundary data.
• Boundary values: testing with minimum, maximum, and boundary values.
• Empty or zero input data: testing handling of empty structures or zeros.
• Large data volumes: testing performance and stability.

Example for a sorting algorithm:

• Input: empty array → expected result: empty array.
• Input: array with one element → returns the same element.
• Input: sorted array → result matches input.
• Input: array with repeating elements → elements are sorted, duplicates are preserved.
• Input: large array of random numbers → checking correctness and execution time.

This approach helps identify errors and guarantees the stability of the algorithm.