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Writing Test Cases

Writing effective test cases is crucial to ensure thorough testing of your software. Test cases serve as guidelines for validating the expected behavior of your code and help identify any defects or issues.

When writing test cases, consider the following guidelines:

  1. Test for All Possible Scenarios: Cover different scenarios and edge cases to ensure comprehensive testing. Think of all possible inputs, invalid inputs, and boundary values.

  2. Make Test Cases Independent: Each test case should be independent of others, meaning the outcome of one test case should not affect the outcome of another. This ensures that issues can be isolated and debugged easily.

  3. Keep Test Cases Small and Focused: Test cases should be focused on testing specific functionalities or features. This makes it easier to identify and fix issues.

  4. Use Meaningful Assertions: Define meaningful assertions to check expected results. This helps in quickly identifying issues and understanding test failures.

  5. Include Clear Test Case Descriptions: Write clear descriptions for each test case to provide context and understanding.

Here's an example of test cases written in Python using the unittest framework:

PYTHON
1import unittest
2
3class MyTestCase(unittest.TestCase):
4
5    def test_sum(self):
6        result = 2 + 2
7        self.assertEqual(result, 4, 'Error: Sum is incorrect')
8
9    def test_multiply(self):
10        result = 3 * 5
11        self.assertEqual(result, 15, 'Error: Multiplication is incorrect')
12
13    def test_divide(self):
14        result = 10 / 2
15        self.assertEqual(result, 5, 'Error: Division is incorrect')
16
17if __name__ == '__main__':
18    unittest.main()

In this example, the test cases verify the correctness of a sum, multiplication, and division operation. Each test case uses assertions to compare the expected result with the actual result.

PYTHON
OUTPUT
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