The future of software testing is likely to be more automated and focused on artificial intelligence (AI) and machine learning. This is due to the increasing complexity of software systems and the need for faster and more accurate testing.
AI and machine learning can help to automate the testing process by generating test cases and test data. They can also help to identify errors and potential areas of improvement. In addition, AI and machine learning can be used to create virtual environments for testing, which can be more realistic and representative of the real world.
As the use of AI and machine learning in testing becomes more widespread, it is likely that the role of human testers will change. They will become more focused on overseeing the automated testing process and interpreting the results.
The future of software testing is likely to be more efficient and effective as a result of the increasing use of AI and machine learning. This will benefit both developers and users by reducing the time and cost of testing, and by improving the quality of software products.