Alexander J. - Codermetrics. Analytics for Improving Software Teams

Alexander J. - Codermetrics. Analytics for Improving Software Teams
Alexander J. - Codermetrics. Analytics for Improving Software Teams
5.9 MB
Codermetrics: Analytics for Improving Software Teams
Год: 2011
Автор: Jonathan Alexander
Издательство: O’Reilly Media
ISBN: 978-1-449-30515-4
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 262
Описание: How can you help your software team improve? This concise book introduces codermetrics, a clear and objective way to identify, analyze, and discuss the successes and failures of software engineers—not as part of a performance review, but as a way to make the team a more cohesive and productive unit.
Experienced team builder Jonathan Alexander explains how codermetrics helps teams understand exactly what occurred during a project, and enables each coder to focus on specific improvements. Alexander presents a variety of simple and complex codermetrics, and teaches you how to create your own.
•Learn how codermetrics changes long-held assumptions and improves team dynamics
•Get recommendations for integrating codermetrics into existing processes
•Ask the right questions to determine the type of data you need to collect
•Use metrics to measure individual coder skills and a team’s effectiveness over time
•Identify the contributions each coder makes to the team
•Analyze the response to your software and its features—and verify that you're meeting team and organizational goals
•Build better teams, using codermetrics to make personnel adjustments and additions
Примеры страниц
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
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
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
Timeout for an Example: Two All-Nighters
Timeout for an Example: No Such Thing As a Perfect Team
Chapter 9 : Conclusion
Appendix : Codermetrics Quick Reference
Appendix : Bibliography
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