Bd Tests Design

Test Design

This skill guides the design and implementation of comprehensive, well-structured tests. Apply these principles when writing new tests, improving coverage, or designing test strategies across any platform.

The user provides code to test or a feature requiring tests. They may specify the test type needed (unit, integration, E2E) or ask for test strategy recommendations.

Test Thinking

Before writing tests, understand what you're testing and why:

• Purpose: What behavior are you verifying? What could go wrong?
• Scope: Is this a unit test, integration test, or end-to-end test?
• Inputs: What are all the possible input categories?
• Outputs: What are the expected outcomes for each input category?

CRITICAL: Write tests that verify behavior, not implementation. Tests should survive refactoring if the behavior remains the same.

When This Applies

Use this skill when:

• Writing tests for new features
• Improving test coverage for existing code
• Designing test strategies for a module/feature
• Identifying what edge cases to test
• Reviewing tests for completeness

Test Design Criteria

Equivalence Partitioning (EP)

Applies to: All input validation, data processing, business logic

Guidance:

• Divide inputs into classes where all values in a class are treated the same
• Test at least one value from each equivalence class
• Include valid classes and invalid classes

Example Application:

Function: calculateDiscount(age: int)
Classes:
  - Invalid: age < 0 (negative)
  - Child: 0-12 (50% discount)
  - Teen: 13-19 (25% discount)
  - Adult: 20-64 (no discount)
  - Senior: 65+ (30% discount)
Test one value from each: -1, 5, 15, 35, 70

Boundary Value Analysis (BVA)

Applies to: Numeric ranges, string lengths, collection sizes, date ranges

Guidance:

• Test at exact boundaries and one step before/after
• Boundaries are where bugs most often occur
• Combine with equivalence partitioning

Example Application:

Range: 0-12 (child), 13-19 (teen)
Boundary tests: 0, 12, 13, 19, 20
Also test: -1 (below min), edge of max range

CORRECT Heuristic

Applies to: All test design, especially edge cases

Guidance:

Right-BICEP

Applies to: Verifying test completeness

Guidance:

Zero-One-Many

Applies to: Collections, loops, recursive operations

Guidance:

• Test with 0 items (empty case)
• Test with 1 item (single case)
• Test with many items (multiple case)
• Test at collection size boundaries if applicable

Example Application:

Function: processOrders(orders: List<Order>)
Tests:
  - Empty list: []
  - Single order: [order1]
  - Multiple orders: [order1, order2, order3]
  - Many orders: boundary of pagination/batch size

Property-Based Testing

Applies to: Pure functions, data transformations, serialization, algorithms, invariants

What is Property-Based Testing?

Instead of writing individual test cases with specific inputs and outputs, define properties (invariants) that should hold true for all valid inputs. The testing framework generates hundreds of random inputs to verify the property.

When to Use Property-Based Testing

Common Property Patterns

Applies to: Identifying what properties to test

Property-Based Testing Tools

Writing Good Properties

Guidance:

• Start with the simplest property that could fail
• Properties should be easier to verify than implement
• Use shrinking to find minimal failing cases
• Combine with example-based tests for known edge cases

Example Application:

# Property: Sorting preserves elements
@given(lists(integers()))
def test_sort_preserves_elements(xs):
    sorted_xs = my_sort(xs)
    assert sorted(xs) == sorted(sorted_xs)  # Same elements
    assert len(xs) == len(sorted_xs)         # Same length

# Property: Sorted output is ordered
@given(lists(integers()))
def test_sort_orders_elements(xs):
    sorted_xs = my_sort(xs)
    for i in range(len(sorted_xs) - 1):
        assert sorted_xs[i] <= sorted_xs[i + 1]

Test Structure

Arrange-Act-Assert (AAA)

Applies to: All test methods

Guidance:

# Arrange - Set up the test conditions
given_user = User(name="Alice", age=25)
given_product = Product(price=100)

# Act - Execute the behavior being tested
result = checkout_service.process(user=given_user, product=given_product)

# Assert - Verify the expected outcome
assert result.total == 100
assert result.discount == 0

Test Isolation

Applies to: All unit tests

Guidance:

• Each test must be independent (no shared mutable state)
• Tests should run in any order
• Use fresh fixtures for each test
• Mock/stub external dependencies

Naming Conventions

Applies to: Test methods and classes

Guidance:

• Name should describe the scenario and expected outcome
• Format: test_[scenario]_[expected_outcome] or should_[outcome]_when_[scenario]

Example Application:

test_calculateDiscount_returnsZero_whenUserIsAdult()
test_calculateDiscount_returns50Percent_whenUserIsChild()
should_throwException_when_ageIsNegative()

Edge Case Coverage

Applies to: All test suites

Required Edge Cases

Happy/Sad/Ugly Paths

Platform-Specific Testing

Mobile (iOS/Android/Flutter)

Applies to: Mobile applications

Mobile-Specific Cases:

• Device rotation
• Background/foreground transitions
• Memory pressure
• Network changes (offline/online)
• Permission denials

Web (React/Vue/Angular)

Applies to: Web applications

Web-Specific Cases:

• Browser compatibility
• Responsive breakpoints
• Accessibility (a11y)
• SEO requirements

Backend (APIs/Services)

Applies to: Backend services

Backend-Specific Cases:

• Authentication/authorization
• Rate limiting
• Database transactions
• Concurrent requests
• Idempotency

AI/ML (Models/Pipelines)

Applies to: Machine learning systems

Anti-Patterns (NEVER use)

• Test interdependence: Tests that rely on other tests running first
• Shared mutable state: State that bleeds between tests
• Implementation coupling: Tests that break when refactoring internals
• Flaky tests: Non-deterministic tests (fix or delete)
• Slow unit tests: Unit tests should be milliseconds, not seconds
• Testing private methods: Test behavior through public interface
• Excessive mocking: Mock boundaries, not everything
• Insufficient shrinking: Not using property-based test shrinking to find minimal cases

Core Philosophy

"Tests are specifications. They document what the code should do, not how it does it. A good test suite is a safety net that enables fearless refactoring."

Write tests that future developers will thank you for—clear, comprehensive, and maintainable.

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