- The art of a good night's sleep is knowing you will not get woken by a support call and the piece of mind from being able to confidently change your software in an always moving market. - Nic Jackson
- change in code can have undesirable effect on the other parts, tests helps in making the process of changing code in future easy
- testing pyramid: unit testing(bottom), service/integration(middle), ui/end-end(top)
- test cases should decrease as you go from bottom to top
-
Approach
- Just write test first (use expected function)
- Run and fail the test
- Write minimal code for the test to run and fail
- Write minimal code to make test pass
- Test same function with different values
- Make sure all tests are passing
- Tests for base cases
- Refactor both code and tests
Features and scenarios
- Given a feature, break it down to scenarios. Each feature is a user story
- Example Feature: As a user when I call the search endpoint, I would like to receive a list of kittens
- Break it down to scenarios
- 1st Scenario: Invalid query Given I have no search criteria When I call the search endpoint Then I should receive a bad request message
- and so... on number of different scenarios
Uncle bobs, rules of unit tests
- First law: You may not write production code until you have written a failing unit test
- Second law: You may not write more of a unit test than is sufficient to fail, and not compiling is failing
- Third law: You may not write more production code than is sufficient to pass the currently failing test
Naming
- my convention: TestNameReturnSomethingWhenSomethingHappens
- example: TestDogHandlerReturnsBadRequestWhenNoSearchCriteriaIsSent
AAA format for testing - Arrange, Act, Assert
- I always try to follow this pattern for clean code
public class CalculatorTest{
public void sumOfTwoNumbers(){
//Arrange
double first = 10;
double second = 20;
var Calc = new Calculator();
//Act
double result = Calc.Sum(first, second);
//Assert
Assert.Equal(30, result);
}
}
concepts
- Idempotency
- Side effects
- A stub is a fake class that comes with preprogrammed return values. Itβs injected into the class under test to give you absolute control over whatβs being tested as input. A typical stub is a database connection that allows you to mimic any scenario without having a real database.
- A mock is a fake class that can be examined after the test is finished for its interactions with the class under test. For example, you can ask it whether a method was called or how many times it was called. Typical mocks are classes with side effects that need to be examined, e.g. a class that sends emails or sends data to another external service.
- Learn mocking - https://semaphoreci.com/community/tutorials/stubbing-and-mocking-with-mockito-2-and-junit
- Wrapper: something which hides implementation of some other code or internally uses other code.
visit my personal blog: https://rahilrehan.github.io
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