Use Performance Testing Advanced Practices to Identify Bottlenecks
Machine learning (ML) is gaining widespread adoption and interest on software development and QA projects.
Some companies are already generating and executing test cases using ML algorithms.
So it’s time to start thinking: Might testing be on that list?
Join Paul Merrill to Learn:
- How to develop guidelines for testing software in the age of machine learning and help your team be a part of the future
- The 3 types of ML your team need to know and how they are changing the way work is done
- Where ML is being used in dev and testing and the scope of its impact
- How ML- driven tools are already replacing some of the major testing and dev activities