Design test cases to verify a computer program : Testing Functions

This video tutorial covers the basics of testing a simple divide function in Python. It explains how to set up test functions using the unit test framework, including importing necessary modules and creating test cases. The tutorial demonstrates testing the divide function with various inputs, such as positive, negative, and zero values, and discusses the concept of equivalence classes. It emphasizes the importance of writing simple and clear tests, using assert equal and assert almost equal methods, and provides tips for running tests in PyCharm.

What are the two parameters of the divide function?

• Multiplier and Multiplicand

• Base and Exponent

• Numerator and Denominator

• Dividend and Divisor

Why is it important to name test files with 'test_' prefix?

• To make them easily searchable

• To allow the unit test framework to recognize them

• To differentiate them from production code

• To ensure they are ignored by the compiler

What is the purpose of using assertAlmostEqual in division tests?

• To ensure the test runs faster

• To handle potential floating-point precision errors

• To compare strings instead of numbers

• To simplify the test code

What is an equivalence class in the context of testing?

• A method to speed up test execution

• A set of inputs that are expected to produce similar results

• A group of tests that are identical

• A class that contains all test functions

What is the expected result when dividing zero by any number?

• Infinity

• The divisor

• Zero

• An error

How does the divide function handle negative numbers?

• It returns a negative result

• It ignores the negative sign

• It returns a positive result

• It throws an error

What is the benefit of keeping tests simple and straightforward?

• They are easier to debug

• They run faster

• They are more reliable

• They clearly define the function's behavior