AI-Driven Risk-Based Testing and Intelligent Delivery System at Baidu
Baidu’s AI‑driven risk‑based testing platform automates task allocation, precisely scopes test coverage, dynamically optimizes execution, and uses real‑time logs to locate defects, enabling a quality‑assessment model that blocked 1,123 unsafe releases, intercepted 318 bugs, saved over 2,000 person‑days, and cut assessment time from 50 to 2 hours, demonstrating that AI‑guided decisions markedly improve testing efficiency and delivery quality.