Software productivity must be measured as more than just output divided by input. This guide describes a method for adjusting productivity with quality results to gain greater visibility into the impact that software quality has on the productivity of future releases. After identifying the various measures and their associated methods, we present 11 best practices that can be integrated into a productivity measurement and analysis process and provide recommendations for implementing an effective measurement-driven improvement program.