STAREAST 2022 Tutorial: Artificial Intelligence and Machine Learning Skills for the Testing World

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Monday, April 25, 2022 - 1:00pm to 4:30pm

Artificial Intelligence and Machine Learning Skills for the Testing World

Software continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that still requires significant manual effort. Tariq King and Jason Arbon will introduce you to the world of AI for software testing. Learn the fundamentals behind autonomous and intelligent agents, ML approaches including Bayesian networks, decision tree learning, neural networks, and reinforcement learning. You’ll discover how to apply these techniques to common testing tasks such as identifying testable features, generating test flows, and detecting erroneous states. Come and train your first artificial brain on how to test software.

Tariq_King
test.ai
Tariq King is the Chief Scientist at test.ai, where he leads research and development of their core platform for AI-driven testing. Tariq has over fifteen years' experience in software engineering and testing and has formerly held positions as Head of Quality, Director of Quality Engineering, Manager of Software Engineering and Test Architect. Tariq holds Ph.D. and M.S. degrees in Computer Science from Florida International University, and a B.S. in Computer Science from Florida Tech. His areas of research are software testing, artificial intelligence, autonomic and cloud computing, model-driven engineering, and computer science education. He has published over 40 research articles in peer-reviewed IEEE and ACM journals, conferences, and workshops, and has been an international keynote speaker at leading software conferences in industry and academia.
Dionny Santiago
test.ai

Dionny Santiago is a Director of Engineering at test.ai, where he leads the development of the core AI-driven testing platform. Dionny's goal is to advance the current state of the art in software testing through the application of Artificial Intelligence and Machine Learning. Dionny holds a M.S. degree and is currently pursuing a Ph.D. in Computer Science from Florida International University (FIU). He has published and contributed to the design of test specification languages and AI-driven test generation approaches. Dionny also enjoys attending software testing conferences to both learn and share. Dionny is a member of the IEEE Computer Society and the ACM.