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What Is System Integration Testing With Example

Big-Bang integration testing is a software testing approach in which all components or modules of a software application are combined and tested at once. The goal of big-bang integration testing is to verify the overall functionality of the system and to identify any integration problems that arise when the components are combined. Integration testing is a software testing technique that focuses on verifying the interactions and data exchange between different components or modules of a software application. The goal of integration testing is to identify any problems or bugs that arise when different components are combined and interact with each other. Integration testing is typically performed after unit testing and before system testing. It helps to identify and resolve integration issues early in the development cycle, reducing the risk of more severe and costly problems later on.

  • However, there is also a limitation where you can thoroughly test the individual subsystems before integration.
  • The tests are intended for the use of the programmer, they are not directly useful to anybody else, though, if they do their job, testers and users downstream should benefit from seeing fewer bugs.
  • The main objective of integration testing is to ensure that the entire software system works flawlessly when it is put together.
  • Usually while performing Integration Testing, ETVX (Entry Criteria, Task, Validation, and Exit Criteria) strategy is used.

The tests execution thread starts and ends within the smallest testable unit. There are several types of integration testing like Big Bang integration testing, Component integration testing, System integration testing etc and these are covered in detail in subsequent topics. After each module was assigned to a developer, the developers began coding the functionality on their individual machines. They deployed their respective modules on their own machines to see what worked and what didn’t, as they went about developing the module.

Example to Differentiate Between System Testing and Integration Testing

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While unit testing is one of the earliest tests performed in a project, integration testing is usually done later in the project timeline. In this non-incremental testing approach, all the developed modules are tested individually and then integrated and tested once again. In the incremental testing approach, all logically related modules are integrated, and then testing is done to check the proper functionality of the application as per the requirement.


Then a driver is created to manage the input and output details related to the test case. It is essential to perform comprehensive system integration testing of apps and websites to deliver the right business value to the end users and customers. Bottom-up integration begins construction and testing with modules at the lowest level in the program structure. In this system integration testing definition process, the modules are integrated from the bottom to the top. There are some incremental methods like the integration tests are conducted on a system based on the target processor. System Integration Testing is defined as a type of software testing carried out in an integrated hardware and software environment to verify the behavior of the complete system.
What is system integration testing with example
Integration testing is a crucial part of the software testing lifecycle, where individual components or modules are combined and tested as a group. It helps ensure that the integrated system functions correctly and the interactions between its components are seamless. In big-bang integration testing, all the system modules, components, or units are connected as a single unit or software and the testing is executed on it as a whole. While this is a more accessible and simpler approach for software testing, bug detection & isolation and individual interface testing often become challenging with this approach. Integration testing is defined as a software testing process where a group of software components, modules, or units are tested to evaluate system compliance with respect to functional requirements. Top Down Integration Testing is a method in which integration testing takes place from top to bottom following the control flow of software system.

Under this approach, the testing starts with just the topmost module or component of an application. The modules can be integrated either in a breadth-first or depth-first manner. In the Incremental Testing approach, testing is done by integrating two or more modules that are logically related to each other and then tested for proper functioning of the application. Then the other related modules are integrated incrementally and the process continues until all the logically related modules are integrated and tested successfully.
What is system integration testing with example
Bottom-up Integration Testing is a strategy in which the lower level modules are tested first. These tested modules are then further used to facilitate the testing of higher level modules. Once the lower level modules are tested and integrated, then the next level of modules are formed. The system testing is executed mostly by test engineers after the integration testing has been completed. Also, you do not need to know internal code in system testing, as it consists entirely of black-box testing techniques.

Integration testing involves checking individual components or units of a software project to expose defects and problems to verify that they work together as designed. In bottom-up testing, the lowest level components are tested first, and are then used to facilitate the testing of higher level components. The process is repeated until the component at the top of the hierarchy is tested. All the bottom or low-level modules, procedures or functions are integrated and then tested.
What is system integration testing with example
After all conflicts have been rectified, rerun the tests in those areas to make sure that the corrections are successful. Confirm each test runs properly and that the application is acting as anticipated. Knowing your way around a NoSQL database like MongoDB is a useful skill for devs — here’s why.


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