Introduction to pairwise testing
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Pairwise testing is a technique for generating test cases by covering all interactions of up to two factors, leading to smaller test suites that effectively find defects. The document provides examples of combinations and emphasizes the use of tools such as All-Pairs and PICT for automating this process. It also advises to apply pairwise testing judiciously, focusing on necessary situations and probable failure combinations.
Introduction to pairwise testing
- 1. Introduction to pairwise testing Alexandr Romanov
- 2. What is pairwise testing? Google it! Pairwise (all-pairs) testing is an effective test case generation technique that is based on the observation that most faults are caused by interactions of at most two factors. Pairwise-generated test suites cover all combinations of two therefore are much smaller than exhaustive ones yet still very effective in finding defects.
- 3. Pairwise testing: give us an example Simple Combinations: 2x2 = 4
- 4. Pairwise testing: give us an example Simple Combination number Bed linen Tea 1 checked checked 2 unchecked checked 3 checked unchecked 4 unchecked unchecked
- 5. Pairwise testing: give us an example
- 6. Pairwise testing: give us an example Combination number Seat type Bed linen Tea Gypsies Demobees 1 Berth checked checked checked checked 2 Coupe checked checked checked checked 3 Lux checked checked checked checked 4 Berth unchecked unchecked unchecked unchecked 5 Coupe unchecked unchecked unchecked unchecked 6 Lux unchecked unchecked unchecked unchecked 7 Berth unchecked unchecked unchecked checked 8 Coupe unchecked unchecked unchecked checked ... ... ... ... ... ... Combinations (all): 3x2x2x2x2 = 48
- 8. Do we need to do it manually? Tools: - All-pairs - free - PICT - free - Jenny - free - Hexawise free/commercial others;
- 9. Should we use pairwise everywhere?! Always remember: - Use pairwise testing technique when it’s necessary; - Explore your system under test; - Select the right values to test with; - Pay attention to high probable fail combination;