Rails Software Metrics
Line coverage, branch coverage, path coverage, cyclomatic complexity, code coupling, and code cohesion: they may sound as abstract terms, but don’t let that get you! There are a good many gems out there that can help you to measure these attributes of your Ruby on Rails application. We’ll teach you which and how.
Next up is interpretation of these quality measures. What are good scores and what are bad scores? Which attribute should I focus on? We’ll walk you through it and learn how to use computer science to your benefit in Ruby on Rails applications, so that you can improve Ruby on Rails software quality using trecognized and most proven techniques that are out there.
Roderick van Domburg
Nedforce
Roderick is an all-rounder: COO at Nedforce, academic in Business & IT, and Rails contributor since 2005. He is the supplier of MySQL and PostgreSQL database drivers for Windows and ActiveRecord patches to the Rails core. In 2006 he took the initiative to have Nedforce deliver Rails solutions worldwide, earning it clients as far away as Australia and Japan.
