What are the different types of software testing used in the SDLC?

In the Software Development Life Cycle (SDLC), there are several types of software testing that are used to ensure the quality and reliability of the developed software. These testing types can be categorized into four main categories:

1. Unit Testing: This type of testing focuses on testing individual components or units of the software. It is usually performed by developers and involves testing the smallest functional units of code to ensure they work as intended. Unit testing helps identify and fix bugs or issues at an early stage, making it easier to maintain and enhance the software.

2. Integration Testing: Integration testing is conducted to test the interaction between different modules or components of the software. It ensures that the integrated system functions correctly as a whole. This type of testing helps identify any issues or defects that may arise due to the integration of different components.

3. System Testing: System testing is performed on the complete and integrated software system. It focuses on testing the system as a whole to ensure that it meets the specified requirements. System testing includes functional and non-functional testing, such as usability testing, performance testing, security testing, and compatibility testing. The goal is to validate the software against the defined requirements and ensure its overall functionality.

4. Acceptance Testing: Acceptance testing is the final phase of testing in the SDLC. It involves testing the software from the end-user's perspective to determine whether it meets the user's requirements and expectations. This type of testing is usually performed by the client or end-users and helps ensure that the software is ready for deployment.

Apart from these main types, there are also other types of testing that can be used in the SDLC, such as regression testing, usability testing, performance testing, security testing, and exploratory testing. The selection of testing types depends on the project requirements, complexity, and the level of risk associated with the software.