Concepts

Chapter 1 Introduction

Chapter 2 Measuring What Coders Do
The Purpose of Metrics
Timeout for an Example: The Magic Triangle (Partially) Debunked
Patterns, Anomalies, and Outliers
Understanding the Limits
Timeout for an Example: An Unexpected Factor in Success
Useful Data
Timeout for an Example: Metrics and the Skeptic

Chapter 3 The Right Data
Questions That Metrics Can Help Answer
Timeout for an Example: An MVP Season
The Data for Metrics
Timeout for An Example: A Tale of Two Teams Metrics

Chapter 4 Skill Metrics
Input Data
Offensive Metrics
Defensive Metrics
Precision Metrics
Skill Metric Scorecards
Observations on Coder Types

Chapter 5 Response Metrics
Input Data
Win Metrics
Loss Metrics
Momentum Metrics
Response Metric Scorecards
Observations on Project Types

Chapter 6 Value Metrics
Input Data
Contribution Metrics
Rating Metrics
Value Metric Scorecards
Observations on Team Stages Processes

Chapter 7 Metrics in Use
Getting Started
Timeout for an Example: The Seven Percent Rule
Utilizing Metrics in the Development Process
Timeout for an Example: The Turn-Around
Using Metrics in Performance Reviews
Taking Metrics Further
Timeout for an Example: The Same But Different

Chapter 8 Building Software Teams
Goals and Profiles
Roles
Timeout for an Example: Two All-Nighters
Personnel
Timeout for an Example: No Such Thing As a Perfect Team

Chapter 9 Conclusion

Appendix Codermetrics Quick Reference
Appendix Bibliography