Fuzzy Quality
Fuzzy Quality is hosted by Adam Leon Smith. In this podcast we talk to industry practitioners and researchers exploring the complex and emerging world of verification and validation of AI-based systems. We also explore how AI can itself be used in the testing of conventional software.
Fuzzy Quality Episode #4: Smoke Testing Machine Learning
Adam talks to Steffen Herbold and Tobias Haar about smoke testing machine learning. In particular, discussing defects they have found applying boundary value analysis and equivalence partitioning.
Fuzzy Quality Episode #3: Experimental Behavioural Economics and AI
Adam talks to Dr Christina Strobel
Fuzzy Quality Episode #2: Deep Reinforcement Learning for Black-Box Testing of Android Apps
Adam talks to Andrea Romdhana about the ARES tool and his research on how DeepRL can be used to find crashes in Android Mobile Applications
Fuzzy Quality Episode #1: AI Quality Characteristics
Adam talks to Rik Marselis about the quality characteristics of AI systems