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🧱 Testing Strategy

Unit test design is the discipline of creating small, isolated, repeatable tests that verify the correctness of individual units of code—usually functions, classes, or methods. Good unit test design ensures your codebase is reliable, easy to refactor, and safe to evolve.


Unit test design defines how to structure, isolate, and validate small pieces of code so that each test checks one behavior, runs fast, and fails for a clear reason. It ensures correctness at the lowest level of the system.

It answers:

  • What behavior does this unit provide?
  • How do we verify it works in all scenarios?
  • How do we isolate it from external dependencies?

Good unit tests:

  • Catch bugs early
  • Enable safe refactoring
  • Improve code quality
  • Document expected behavior
  • Reduce regression risk
  • Increase developer confidence
  • Support clean architecture and SOLID principles

Poor unit tests become brittle, slow, and hard to maintain.


  • Isolation — test one unit, mock everything else
  • Determinism — tests must produce the same result every run
  • Single assertion — each test verifies one behavior
  • AAA pattern — Arrange → Act → Assert
  • Fast execution — tests should run in milliseconds
  • Clear naming — describe behavior, not implementation
  • Mocking — replace external dependencies
  • Coverage of edge cases — test boundaries and failure paths
  • Repeatability — no randomness, no external state

These principles ensure tests are reliable and maintainable.


Tests one behavior, not multiple.

No database, network, file system, or external services.

Clear Arrange → Act → Assert structure.

Tests business behavior, not implementation details.

Doesn’t break when refactoring internal code.

Runs in milliseconds.


The most common structure.

Behavior-driven variant of AAA.

  • Mocks
  • Stubs
  • Fakes
  • Spies

Test multiple inputs with one test definition.

Reusable setup for complex objects.

Create test objects cleanly without clutter.


  • Testing multiple behaviors in one test
  • Mocking too much or too little
  • Testing private methods
  • Using real databases or external services
  • Writing fragile tests tied to implementation details
  • Overusing asserts
  • Not testing edge cases
  • Poor naming (e.g., Test1, ShouldDoThing)

Good names describe behavior:

  • GenerateSummary_ShouldReturnEmptySummary_WhenNoTasksExist
  • CalculateScore_ShouldThrowException_WhenInputIsInvalid
  • SendReminder_ShouldPublishMessage_WhenMemberIsActive

Names should reflect business behavior, not internal logic.


If you apply unit test design to a Daily Scrum application:

  • GenerateSummary_ShouldIncludeCompletedTasks
  • GenerateSummary_ShouldExcludeInactiveMembers
  • GenerateSummary_ShouldHandleEmptySession
  • Export_ShouldGeneratePdfBytes
  • Export_ShouldThrow_WhenSummaryIsNull
  • SendReminder_ShouldPublishMessage
  • SendReminder_ShouldNotSend_WhenMemberIsInactive

Mocks would replace:

  • Repositories
  • Message bus
  • PDF library
  • Email/SMS providers

This keeps tests fast, isolated, and reliable.


  1. Identify the unit’s responsibilities
  2. List behaviors and edge cases
  3. Write tests using AAA or Given–When–Then
  4. Mock external dependencies
  5. Assert one behavior per test
  6. Review for readability and isolation
  7. Refactor tests when refactoring code

Unit test design defines how to write small, isolated, fast, and meaningful tests that verify individual behaviors. Good unit tests are readable, deterministic, and focused on business logic—not implementation details.