What problem does it solve? When a system has many independent input factors, testing every combination explodes combinatorially. This Skill reduces the case count by applying factor-coverage techniques—pairwise, orthogonal arrays, and T-way testing—so you still cover critical interactions without exhaustive enumeration. ## Core Features & Use Cases - Pairwise (All-pairs): Covers every value pair of any two parameters at least once, minimizing case count based on the heuristic that most defects arise from two-factor interactions. - Orthogonal Array: Uses balanced assignment tables (L8, L9, etc.) so every pair appears an equal number of times, letting you read main effects of each factor level. - T-way Testing: Generalizes to t-factor combinations (3-way, 4-way) with constraint support to exclude impossible value combinations from the covering array. - Use Case: Testing a checkout page across OS × browser × language × currency. Instead of hundreds of combinations, generate a pairwise covering array with a tool, load it as test data, and run each row as one Vitest case. ## Quick Start Ask the AI to design pairwise test cases for a feature with many independent configuration parameters, such as OS, browser, and language combinations.
