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.