How Mozilla uses machine learning to streamline its development process: automating various aspects of bug management (such as accurately assigning components, detecting types, and identifying spam), trying to predict potential regressions and selecting relevant tests for specific patches. In addition, an overview of future directions for privacy-respecting machine learning usage in Firefox, with the support of the community.
Speakers: Marco Castelluccio