Nowadays, researches are looking for adaptation of Machine Learning algorithms to testing processes to reduce the manual effort and improve quality. In this talk, we will discuss in detail Machine Learning practices with a case study. Testing efforts are potentially able to be minimized in all stages.
I aim to demonstrate how ML helps in all stages. In this manner, I summarize the application areas with algorithms and discuss the advantages and potential risks of AI applications in software testing.