This document summarizes an industrial case study conducted by ABB on using the Q-ImPrESS method to predict quality impacts for evolving service-oriented software. The case study modeled a process control system used by ABB using Q-ImPrESS. It took approximately 2.5 person months to manually model the system. The model was then used to predict performance and reliability for different design alternatives, showing predictions matched measurements. While Q-ImPrESS provided useful results, more tool development is needed to reduce modeling effort and demonstrate cost/benefits.