AI for Testing Today (Panel: Part I)

Tariq King

Summary:

How can we apply AI to the testing problems of today? What works and what doesn't work? Are there any critical lessons that have been learned? This panel discusses AI frameworks and approaches that are most useful today for testing real world systems. Hear advice from the folks that have had successes and failures applying AI to real world testing problems so you can avoid the same mistakes and bring back proven techniques for applying AI to software testing challenges.

Presenter Bio:

Tariq King is the senior director and engineering fellow for quality and performance at Ultimate Software. With more than fifteen years’ experience in software testing research and practice, Tariq heads Ultimate Software’s quality program by providing technical and people leadership, strategic direction, staff training, and research and development in software quality and testing practices. Tariq is a frequent presenter at conferences and workshops, has published more than thirty research articles in IEEE- and ACM-sponsored journals, and has developed and taught software testing courses in both industry and academia. His primary research interest is engineering autonomous self-testing systems. He is cofounder with Jason Arbon of the Artificial Intelligence for Software Testing Association. Contact Tariq via LinkedIn.