Module 5 - Equivalence Class Testing

What is **partitioning**?

Partitioning refers to a collection of mutually disjointed subsets where the union is the entire set.

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The entire set is represented and provides a form of completeness.

The disjointedness ensures a form of non-redundancy.

What are the **motivations** of Equivalence Class Testing?

1. To have a sense of complete testing
2. Boundary value testing has massive redundancy and serious gasps because the major focus is on the boundary.
3. Equivalence class testing can also handle robustness and single/multiple fault assumption.

Which **relationship** does equivalence class testing work best with?

Many-to-one relationships

What are the **five** equivalence testing techniques?

1. Traditional equivalence class testing.
2. Weak normal equivalence class testing.
3. Strong normal equivalence class testing.
4. Weak robust equivalence class testing.
5. Strong robust equivalence class testing.

What are the **perspectives** of equivalence testing techniques?

Normal (Valid Values)

Robust (Valid/Invalid Values)

Weak (Single Faults)

Strong (Multiple Faults)

What is **traditional** equivalence class testing?

This testing focuses on detecting invalid input.

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For each variable, valid input is one one equivalence class and invalid input is in another.

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There are 2n+1 test cases needed for n variables.

What is **weak normal** equivalence class testing?

This testing is accomplished by using one variable with valid input from each equivalence class to prepare a test case.

How many test cases should be prepared for the **weak normal** equivalence class testing?

The max number of equivalence classes from the set of variables.

What is **strong normal** equivalence class testing?

This testing is based on the multiple fault assumption, so we need test cases from each element of the cartesian product of the equivalence classes.

How many test cases should be prepared for the **strong normal** equivalence class testing?

The product of the number of equivalent classes of each variable.

What is **weak robust** equivalence class testing?

This testing is accomplished by using one variable with valid or invalid input from each equivalence class to prepare a test case.

How many test cases should be prepared for the **weak robust** equivalence class testing?

The max number of equivalence classes of the variables + 2n where n is the number of variables.

What is **strong robust** equivalence class testing?

This testing is based on the multiple fault assumption, so we need test cases from each element of the cartesian product of the equivalence classes. Both invalid and valid values are considered.

How many test cases should be prepared for the **strong robust** equivalence class testing?

The product of the number of valid equivalence classes + invalid equivalence classes