Functional Integration Testing: Functional integration testing, or FIT, is a crucial part of software testing that ensures different system modules or components integrate seamlessly. It involves testing how interactions occur between various software application components to ensure correct system functionality and expected output. Functional-testing: using real code deeper and deeper down your call-stack. Integration-testing: higher and higher up your call-stack; in other words, testing your CUT by running the code which would use it. System-testing: more and more unrepeatable operations (O/S scheduler, clock, network, etc.) Functional testing validates that a code is working properly and doing exactly what it is supposed to do, while non-functional testing confirms that the code is functioning the right way. The ultimate aim is to build a software product that is free of bugs, inconsistencies, and vulnerabilities. Both these types of software testing processes In manual testing, we test the software manually, i.e., without the help of any automation tools. In functional testing, we can test the software’s functionality in several ways, i.e., unit testing, integration testing, end to end testing, regression testing, and more (detailed later in this post). In non-functional testing, we generally do Integration Testing: In Integration testing, combined individual units are tested as a group and expose the faults in the interaction between the integrated units. Smoke Testing: Smoke testing is a type of functional testing technique where the basic functionality or feature of the application is tested as it ensures that the most important Functional testing is focused on verifying the software’s functionality, while regression testing is focused on verifying the stability of the software. The main difference between regression and functional testing is that functional tests focus on whether the interface or function behaves as expected. In contrast, regression tests focus on Integration and E2E testing types are not oppositional. They both check if implementing scripts helps yield the expected results. Hence, the two complement each other and help validate the quality of code in full. Though neither of the two testing types is disposable, the team can choose their combination in accordance with their project’s Focus. Another primary difference between the two testing methods is the specific functionality of the software that's its focus. Integration testing focuses on ensuring various components within a program or system can function together well. Acceptance testing focuses on the client's use of the system and how it functions as a whole unit .

difference between functional and integration testing