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Define equivalence classes for input data and automatically generate valid and invalid test cases.
Enter parameter names and add valid/invalid equivalence classes. Set a class name and representative value for each class.
Click "Generate Test Cases" to automatically create valid class coverage tests and invalid class tests.
Copy or download generated test cases in CSV or Markdown format.
Add valid and invalid equivalence classes for each parameter
Equivalence Partitioning is an online tool that divides input data domains into equivalence classes and automatically generates efficient test cases. By combining valid class coverage tests with individual invalid class tests, it achieves both test thoroughness and efficiency.
Equivalence partitioning is a black-box testing technique that divides input data domains into "equivalence classes" and tests representative values from each class. It assumes values within the same class produce the same behavior, reducing test cases while achieving high coverage.
Valid classes represent input ranges the system should process normally, while invalid classes represent input ranges the system should handle as errors. Testing both ensures quality for both normal and error scenarios.
Equivalence partitioning divides domains into classes and tests representative values, while boundary value analysis focuses on values near boundaries. They complement each other, and combining them enables more effective testing.
Download in CSV format for use in Excel or test management tools, or copy in Markdown format to paste into documentation. Use them as a checklist during test execution.
In invalid tests, only one parameter is set to invalid while others remain valid. This isolates which parameter causes the error. Setting multiple parameters to invalid simultaneously makes it difficult to identify the root cause.