pairwise-test-coverage

Generate pairwise test matrices covering 2-wise and 3-wise factor interactions.

5|1|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/apankov1/quality-engineering --skill pairwise-test-coverage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pairwise-test-coverage
Source: https://github.com/apankov1/quality-engineering/tree/main/skills/pairwise-test-coverage
Command: npx skills add https://github.com/apankov1/quality-engineering --skill pairwise-test-coverage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Pairwise testing reduces combinatorial explosion by covering all interactions between factors with near-minimal test cases, enabling reliable defect detection without exhaustive test suites.

Core Features & Use Cases

  • Greedy pairwise matrix generator that covers all pair interactions with far fewer test cases than full enumeration
  • Supports 2-wise and 3-wise coverage, with optional factor weighting to prioritize critical paths
  • Validation utilities to verify full coverage and compute your matrix size
  • Lightweight, framework-agnostic outputs: markdown tables and TypeScript test-case snippets

Quick Start

Run the pairwise generator on your factor set to produce a minimal test matrix and export it as a Markdown table.

Frequently Asked Questions about pairwise-test-coverage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is pairwise testing and how does it reduce test cases for multi-parameter configurations?▼

Pairwise testing reduces combinatorial explosion by covering all interactions between factors with near-minimal test cases. It ensures reliable defect detection across multi-parameter configurations without requiring exhaustive test suites.

How do I generate a pairwise test matrix for 3 or more interacting parameters?▼

You can generate a pairwise test matrix by running a greedy algorithm on your factor set. The generator outputs a minimal test matrix covering all 2-wise or 3-wise interactions, exportable as markdown tables or TypeScript test-case snippets.

Does pairwise test generation work for state machine testing and fault injection matrices?▼

Yes, pairwise test generation works for state machine testing and fault injection matrices. The technique applies to any scenario involving 3 or more interacting parameters where you need near-minimal test cases ensuring full coverage.

What is the best way to validate full coverage for a combinatorial test matrix?▼

The best way to validate combinatorial test matrix coverage is using validation utilities that verify full 2-wise or 3-wise factor interactions and compute your matrix size. This ensures all required parameter interactions are tested.

What are the limitations of pairwise testing with large numbers of factors and values?▼

Limitations of pairwise testing include enforced practical limits of a maximum of 20 factors and 50 values per factor. These constraints ensure the greedy algorithm generates test matrices efficiently without exceeding processing capabilities.