Patterns in live performance data
This thesis explores methods to find features that affect the start time of mobile apps. To help app developers improve performance over patch cycles, we implement an alarm pipeline in Apache Spark and tested it. This implementation is able to detect notable changes in the start time distribution and alert the developer. Spark is a scalable cluster computing framework, that proved well suited for