What if you could find bugs faster by testing fewer inputs?
Why Equivalence partitioning in Testing Fundamentals? - Purpose & Use Cases
Imagine you have a form that accepts ages from 1 to 100. Testing every single number manually means entering 1, 2, 3, all the way to 100, one by one.
This manual testing is slow and boring. It wastes time and can miss errors because humans get tired or skip values. Testing every input is just not practical.
Equivalence partitioning groups inputs that behave the same way. Instead of testing all ages, you test one from each group: below range, valid range, and above range. This saves time and catches errors efficiently.
Test inputs: 1, 2, 3, ..., 100
Test inputs: 0 (below), 50 (valid), 101 (above)
It lets you test smarter, not harder, by covering all cases with fewer tests.
When testing a login form that accepts passwords of length 6 to 12, you test one password shorter than 6, one between 6 and 12, and one longer than 12 instead of every length.
Manual testing every input is slow and error-prone.
Equivalence partitioning groups inputs to reduce test cases.
This method improves efficiency and test coverage.
Practice
equivalence partitioning in software testing?Solution
Step 1: Understand equivalence partitioning concept
Equivalence partitioning divides input data into groups where all inputs in a group behave similarly.Step 2: Identify the main goal
The goal is to reduce the number of test cases by testing one value from each group instead of all values.Final Answer:
To divide input data into groups where test cases can be reduced -> Option CQuick Check:
Equivalence partitioning = reduce test cases [OK]
- Thinking it tests every input value
- Confusing with UI testing
- Assuming it is about coding tests
Solution
Step 1: Identify equivalence partitions
Partitions are: below valid range (<18), valid range (18-60), above valid range (>60).Step 2: Select test values from each partition
Choose one value from each: 17 (below), 18 and 60 (edges of valid), 30 (inside valid), 61 (above).Final Answer:
Test ages 17, 18, 30, 60, 61 -> Option AQuick Check:
Test one from each partition [OK]
- Testing only valid values
- Ignoring boundary values
- Testing too many values inside one partition
Solution
Step 1: Define partitions
Partitions are: below valid (<1), valid (1-100), above valid (>100).Step 2: Check which inputs cover all partitions
[0, 1, 50, 100, 101] includes 0 (below), 1 and 100 (edges valid), 50 (inside valid), 101 (above).Final Answer:
[0, 1, 50, 100, 101] -> Option BQuick Check:
Inputs cover all partitions [OK]
- Missing values outside valid range
- Testing only inside range
- Ignoring boundary values
Solution
Step 1: Identify partitions and errors
Partitions: below valid (<8), valid (8-12), above valid (>12). The original set misses some below and above values.Step 2: Fix test set to cover all partitions
[6, 8, 10, 12, 14] adds 6 (below), 14 (above), and includes valid 8, 10, 12, covering all partitions correctly.Final Answer:
[6, 8, 10, 12, 14] -> Option DQuick Check:
Test covers below, valid, and above partitions [OK]
- Missing values outside valid range
- Not testing boundary values
- Using only valid inputs
Solution
Step 1: Define partitions including decimals
Partitions: below valid (<0.0), valid (0.0 to 100.0), above valid (>100.0). Decimals allowed inside valid range.Step 2: Choose test inputs covering all partitions
[ -1, 0.0, 50.5, 100.0, 101 ] includes -1 (below), 0.0 (valid edge), 50.5 (valid decimal), 100.0 (valid edge), 101 (above).Final Answer:
[ -1, 0.0, 50.5, 100.0, 101 ] -> Option AQuick Check:
Test inputs cover all partitions including decimals [OK]
- Ignoring decimal values inside valid range
- Missing values outside valid range
- Testing only integers
Ready to prove it?
Pass the test and this pattern moves unknown
