Practical Applications of Machine Learning in Software Testing

As more and more researchers try to use AI techniques to solve the traditional software problems, “what and how we can use” becomes more crucial. AI is one of the hottest topics in the software world nowadays. Especially mining valuable information from bugs can be made use of by managers to guide feature priorities. I introduce the applications in different stages of testing, that makes it easy for the audience to find what they want. Take-aways after the talk, attendees will be able to imagine how Machine Learning can be used to generate test cases automatically, review test code, heal broken test code, prioritize test cases, exploratory testing, manage bugs.