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Table of Contents

  1. Concepts

    1. Chapter 1 Introduction

    2. Chapter 2 Measuring What Coders Do

      1. The Purpose of Metrics
      2. Timeout for an Example: The Magic Triangle (Partially) Debunked
      3. Patterns, Anomalies, and Outliers
      4. Understanding the Limits
      5. Timeout for an Example: An Unexpected Factor in Success
      6. Useful Data
      7. Timeout for an Example: Metrics and the Skeptic
    3. Chapter 3 The Right Data

      1. Questions That Metrics Can Help Answer
      2. Timeout for an Example: An MVP Season
      3. The Data for Metrics
      4. Timeout for An Example: A Tale of Two Teams
  2. Metrics

    1. Chapter 4 Skill Metrics

      1. Input Data
      2. Offensive Metrics
      3. Defensive Metrics
      4. Precision Metrics
      5. Skill Metric Scorecards
      6. Observations on Coder Types
    2. Chapter 5 Response Metrics

      1. Input Data
      2. Win Metrics
      3. Loss Metrics
      4. Momentum Metrics
      5. Response Metric Scorecards
      6. Observations on Project Types
    3. Chapter 6 Value Metrics

      1. Input Data
      2. Contribution Metrics
      3. Rating Metrics
      4. Value Metric Scorecards
      5. Observations on Team Stages
  3. Processes

    1. Chapter 7 Metrics in Use

      1. Getting Started
      2. Timeout for an Example: The Seven Percent Rule
      3. Utilizing Metrics in the Development Process
      4. Timeout for an Example: The Turn-Around
      5. Using Metrics in Performance Reviews
      6. Taking Metrics Further
      7. Timeout for an Example: The Same But Different
    2. Chapter 8 Building Software Teams

      1. Goals and Profiles
      2. Roles
      3. Timeout for an Example: Two All-Nighters
      4. Personnel
      5. Timeout for an Example: No Such Thing As a Perfect Team
    3. Chapter 9 Conclusion

  1. Appendix Codermetrics Quick Reference

  2. Appendix Bibliography

  3. Colophon