Smart Testing with AI Using Data Mining
The approaches to testing are continuously evolving as we try to keep up with the application needs of today’s users. Our industry is facing a new paradigm where AI is helping achieve scale, coverage, and business impact for many organizations that have been primarily focused on finding defects and refactoring test cases. Are your teams struggling to figure out how to leverage AI to improve their testing? To successfully do this, you must first understand one of AI’s underpinning foundations: data mining. Lorna Smyth will explain the fundamentals of data mining and how it is the base for developing smart tests that include predictive bug hunting and self-healing. You'll leave with an understanding of how teams can implement efficiencies in their testing and move to smart tests.
Lorna Smyth is from Galway on the west coast of Ireland. She is currently a technical sales engineer for SmartBear's test automation tools. She has worked in various IT roles over the past eight years, including technical analyst, data migration test lead, and software licensing specialist. She specializes in test automation and delivers webinars, technical demonstrations, and deep-dive troubleshooting calls on test automation for SmartBear’s customers. Lorna is an advocate for women in IT and is heavily involved in hosting local networking events. She also participates in community outreach to drive awareness of IT roles in the West of Ireland. Lorna is an adventure and sports enthusiast, which has led her to living in Canada, Norway, and Austria, following her love of the mountains. Lorna has recently returned to Ireland and is loving life working in test automation.