Explain about regression testing strategy?

The regression test strategy consists of seven steps as mentioned below:
1. The components and needs have to be identified: The implementation of regression tests takes place whenever a single change takes place. The modified pieces need to be joined together to test with the functionality or existing code with the support of regression test scripts.
2. Testing requirements need to be defined: There is a need to establish a collaborative approach between software test engineers, developers and business stakeholders so that the right test cases can be found out for a project under operation.
3. Ascertain the entry and exit criteria: Before initiating the application testing process, a few criteria must be defined so that the project requirements and test objectives are in sync. Understanding the entry criteria is based on the present elementary requirements in order to begin with the testing process.
4. Create a well-thought-out schedule: The regression testing schedule needs to be created. The intervals and duration need to be decided in which unit tests shall be run for testing the specific components.
5. Selecting the regression tests: The automated test cases need to be defined for repeated tests as well as the timings that are required for implementing those tests. In order to implement tests, the underlying logic must be focused on building a strong platform on which test cases are being run for detecting bugs. Reusable test cases can be used to achieve efficiency.
6. Reviewing the code: Once the test scripts are done with, code review needs to be initiated in order to ensure that the purpose is served by the code for which it has been designed. There should be a collaborative effort between QA engineers and developers in order to carry out the code review process effectively that in turn leads to better results.
7. Monitoring the test metrics: The deviations in code need to be monitored through repeated tests. The metrics that are focused upon are covered in previous tests, code efficiency and how well the testing efforts and previous development have been integrated.