test-design-techniques

<default_to_action> When designing test cases, select technique by input type:

• Numeric ranges → BVA + EP
• Multiple conditions → Decision Tables
• Workflows → State Transition
• Many parameter combinations → Pairwise Testing </default_to_action>

Quick Reference Card

When to Use

• Designing new test suites
• Optimizing existing tests
• Complex business rules
• Reducing test redundancy

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Agent-Driven Test Design

// Auto-generate BVA tests
await Task("Generate BVA Tests", {
  field: 'age',
  dataType: 'integer',
  constraints: { min: 18, max: 120 }
}, "qe-test-generator");
// Returns: 6 boundary test cases

// Auto-generate pairwise tests
await Task("Generate Pairwise Tests", {
  parameters: {
    browser: ['Chrome', 'Firefox', 'Safari'],
    os: ['Windows', 'Mac', 'Linux'],
    screen: ['Desktop', 'Tablet', 'Mobile']
  }
}, "qe-test-generator");
// Returns: 9-12 tests (vs 27 full combination)

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Agent Coordination Hints

Memory Namespace

aqe/test-design/
├── bva-analysis/*       - Boundary value tests
├── partitions/*         - Equivalence partitions
├── decision-tables/*    - Decision table tests
└── pairwise/*           - Combinatorial reduction

Fleet Coordination

const designFleet = await FleetManager.coordinate({
  strategy: 'systematic-test-design',
  agents: [
    'qe-test-generator',    // Apply design techniques
    'qe-coverage-analyzer', // Analyze coverage
    'qe-quality-analyzer'   // Assess test quality
  ],
  topology: 'sequential'
});

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Related Skills

• agentic-quality-engineering - Agent-driven testing
• risk-based-testing - Prioritize by risk
• mutation-testing - Validate test effectiveness

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Remember

With Agents: qe-test-generator applies these techniques automatically, generating optimal test suites with maximum coverage and minimum redundancy. Agents identify boundaries, partitions, and combinations from code analysis.