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Codermetrics: Analytics for Improving Software Teams

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Codermetrics: Analytics for Improving Software Teams Cover

 

Synopses & Reviews

Publisher Comments:

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 teams 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

Book News Annotation:

This guide to software development team management provides a practical discussion of the design and implementation of performance measurement standards in coding projects. Beginning with an overview of evaluation concepts and rationales, the work covers the development of specific metrics for development performance and the implementation of evaluation regimes in the building of software teams. Examples and samples metrics problems are provided throughout. Alexander is an experienced software developer and vice president of engineering at a computer telecommunications firm. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This book attempts to flesh out and share some of the ideas that are not well documented, written or otherwise available regarding metrics that can be used to analyze coders and software teams. We have thoughtful books and material on interviewing, skills-testing, project management and team management, and on Agile and other methodologies that make the development process more effective. But we have never had much discussion or exploration regarding a quantitative and analytical approach to understand the work of individual coders, and to help improve software teams.

About the Author

Jonathan Alexander is a coder, architect, and software executive with years of experience building and managing software teams in Boston, Silicon Valley, and now Atlanta. He is currently VP Engineering at Vocalocity, a provider of cloud-based business phone services (#254 in the 2010 Inc 500). Previously he founded vmSight, a virtual machine monitoring startup acquired by Liquidware Labs in 2009, and he was CTO at internet groupware startup Radnet acquired by Epiphany in 2000. He studied computer science at UCLA, began his career writing software for author/director Michael Crichton and also worked as a programmer at Lotus Development Corp.

Table of Contents

Preface; Organization of This Book; Safari® Books Online; How to Contact Us; Acknowledgments; Concepts; Chapter 1: Introduction; Chapter 2: Measuring What Coders Do; 2.1 The Purpose of Metrics; 2.2 Timeout for an Example: The Magic Triangle (Partially) Debunked; 2.3 Patterns, Anomalies, and Outliers; 2.4 Understanding the Limits; 2.5 Timeout for an Example: An Unexpected Factor in Success; 2.6 Useful Data; 2.7 Timeout for an Example: Metrics and the Skeptic; Chapter 3: The Right Data; 3.1 Questions That Metrics Can Help Answer; 3.2 Timeout for an Example: An MVP Season; 3.3 The Data for Metrics; 3.4 Timeout for An Example: A Tale of Two Teams; Metrics; Chapter 4: Skill Metrics; 4.1 Input Data; 4.2 Offensive Metrics; 4.3 Defensive Metrics; 4.4 Precision Metrics; 4.5 Skill Metric Scorecards; 4.6 Observations on Coder Types; Chapter 5: Response Metrics; 5.1 Input Data; 5.2 Win Metrics; 5.3 Loss Metrics; 5.4 Momentum Metrics; 5.5 Response Metric Scorecards; 5.6 Observations on Project Types; Chapter 6: Value Metrics; 6.1 Input Data; 6.2 Contribution Metrics; 6.3 Rating Metrics; 6.4 Value Metric Scorecards; 6.5 Observations on Team Stages; Processes; Chapter 7: Metrics in Use; 7.1 Getting Started; 7.2 Timeout for an Example: The Seven Percent Rule; 7.3 Utilizing Metrics in the Development Process; 7.4 Timeout for an Example: The Turn-Around; 7.5 Using Metrics in Performance Reviews; 7.6 Taking Metrics Further; 7.7 Timeout for an Example: The Same But Different; Chapter 8: Building Software Teams; 8.1 Goals and Profiles; 8.2 Roles; 8.3 Timeout for an Example: Two All-Nighters; 8.4 Personnel; 8.5 Timeout for an Example: No Such Thing As a Perfect Team; Chapter 9: Conclusion; Codermetrics Quick Reference; Bibliography; Colophon;

Product Details

ISBN:
9781449305154
Author:
Alexander, Jonathan.
Publisher:
O'Reilly Media
Author:
Alexander, Jonathan
Subject:
General Computers
Subject:
Computers-Reference - General
Subject:
General-General
Subject:
metrics;programming;software engineering;teams
Subject:
CourseSmart Subject Description
Copyright:
Edition Description:
Print PDF
Publication Date:
20110931
Binding:
TRADE PAPER
Language:
English
Pages:
264
Dimensions:
9.19 x 7 in

Related Subjects

Computers and Internet » Computer Architecture » General
Computers and Internet » Software Engineering » General
Computers and Internet » Software Engineering » Quality Assurance and Testing
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Mathematics » General

Codermetrics: Analytics for Improving Software Teams New Trade Paper
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Product details 264 pages O'Reilly Media - English 9781449305154 Reviews:
"Synopsis" by ,

This book attempts to flesh out and share some of the ideas that are not well documented, written or otherwise available regarding metrics that can be used to analyze coders and software teams. We have thoughtful books and material on interviewing, skills-testing, project management and team management, and on Agile and other methodologies that make the development process more effective. But we have never had much discussion or exploration regarding a quantitative and analytical approach to understand the work of individual coders, and to help improve software teams.

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