Codermetrics

Organization of This Book

This book is written in three parts, designed to be read in order, although you may find specific parts of the book more useful for later review if you are putting metrics into practice. Part I, “Concepts”, provides a more detailed introduction behind the thinking of codermetrics, the variety of analyses that metrics can enable, and the data that can be measured for coders and software development teams. , “Metrics”, is set up as a kind of metrics reference guide, with each metric explained with examples and notes. , “Processes”, covers techniques to introduce metrics in your teams and put them to use in the development process, as well as how to use metrics to improve and build better software teams.

, “Concepts”, consists of the following chapters:

Chapter 1, Introduction, provides a more detailed explanation of the thoughts, motivations, and goals behind this book.

Chapter 2, Measuring What Coders Do, talks about the general concepts behind metrics, measuring coders, and analyzing teamwork and team performance.

Chapter 3, The Right Data, discusses what constitutes useful data, how to obtain it, and the detailed data elements that will be used for codermetrics.

, “Metrics”, consists of the following chapters:

Chapter 4, Skill Metrics, covers metrics for a wide variety of coder skills and contributions.

Chapter 5, Response Metrics, covers metrics that measure various types of positive and negative user response to software.

Chapter 6, Value Metrics, covers metrics that highlight the value that coders bring to a team.

, “Processes”, consists of the following chapters:

Chapter 7, Metrics in Use, provides a multistep approach to test and introduce metrics in an organization, and offers techniques to use metrics in the development process and performance reviews.

Chapter 8, Building Software Teams, describes how to use metrics to determine team needs, and how to apply them in personnel planning, hiring, and coaching of current team members.

Chapter 9, Conclusion, provides final thoughts on the value of metrics, how to deal with key qualities that are hard to quantify, and how metrics might be improved or expanded in the future.