1. The study examines high-impact defects called breakages and surprises in a large commercial software project. 2. It finds that breakages and surprises can be predicted with 2-3x higher precision than traditional defect prediction, identifying them in around 70% of files. 3. Specialized prediction models for breakages and surprises alone can reduce quality assurance efforts by 40-50% compared to general models.