Black Box Testing Technique - Orthogonal Array Testing (OATS)

Orthogonal array testing enables you to design test cases that provide maximum test coverage with reasonable number of test cases. This type of testing can be applied to problems which has relatively small input domain but too large to accommodate exhaustive testing. Orthogonal array testing is more suitable in finding errors associated with faulty logic within a software component.

Orthogonal arrays are two dimensional arrays of numbers which possess the interesting quality that by choosing any two columns in the array you receive an even distribution of all the pair-wise combinations of values in the array.

The benefits of orthogonal array testing includes:
- lower execution time.
- lower implementation time.
- code coverage is high.
- overall productivity increases.
- the analysis of results take less time.

Orthogonal array testing uses the following terminology:
- Runs are the number of rows in an array.
- Factors are the number of columns in an array.
- Levels are the maximum number of values that can be taken on by any single factor.

Orthogonal array testing (OAT) helps in optimizing testing by creating an optimized test suite, detects all kind of faults, guarantees the testing of pair wise combinations, less prone to errors, simpler to generate and is independent of platforms and domains.