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Integration testing is a test level in software testing where individual units or components of your software system are tested together as a group. It focuses on testing the control and data flow between individual units or components of the software. For example, testing if the methods in the User class and the Home class work together correctly. Integration testing is typically performed after unit testing and before system testing.
Integration testing examples
Tips for integration testing
- Use your test plan to review the scope, strategy, tools and schedule of integration testing.
- Use test drivers to run the integration test.
- Use mocking and stubbing to simulate the behavior of missing or incomplete components.
- Use incremental testing approaches, such as top-down, bottom-up, or sandwich, to integrate and test components gradually.
- Use tools and frameworks, such as JUnit, TestNG, or Selenium, to organize and run your integration tests.
FAQ (interview questions and answers)
- What is the main difference between integration testing and system testing?
Integration testing tests the interactions, such as interfaces, control flow, data flow and exception flow, and dependencies, between individual components or modules of your software, while system testing tests the functionality and performance of the entire software system as a single system. - What are test drivers and test stubs?
Test drivers are used to call and pass input data to the component under test, while test stubs are used to generate output data from the component under test. Test drivers and test stubs simulate the behavior of missing, incomplete or defective components during integration testing. - Which one do you prefer out of incremental testing and big-bang testing?
Incremental testing is an integration testing approach where components or modules are integrated and tested gradually, while big-bang testing is the testing approach where all components or modules are integrated and tested at once. Incremental testing has advantages over big-bang testing, such as, it helps to find and fix defects earlier in the development process, it reduces the complexity of integration testing, it allows for parallel integration testing of some components and development of other components. The final preference should also consider project size, complexity, and development methodology. - What are some challenges of integration testing?
It requires coordination among different teams or developers. Setting up the integration test environment may be challenging. Integration may depend on the availability and quality of external components or services. Integration testing may involve complex scenarios and data flows, and it may require more effort than unit testing. Maintaining documentation (integration test cases, defect reports, etc.) may require additional effort.
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