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Agile Metrics in Action: How to Measure and Improve Team Performance (Paperback)
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Agile Metrics in Action: How to Measure and Improve Team Performance (Paperback)
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DESCRIPTION Project tracking systems, test and build tools, source
control, continuous integration, and other built-in parts of the
software development lifecycle generate a wealth of data that can
be used to track and improve the quality and performance of
products, processes, and teams. Although the iterative nature of
Agile development is perfect for data-driven continuous
improvement, the collection, analysis, and application of
meaningful metrics often fades in favor of subjective measures that
offer less insight into the real challenges of making better
software. Continuous Improvement: Measuring and enhancing the
performance of Agile teams is a practical book that shows how to
take the data already being generated to make teams, processes, and
products better. It points out which metrics to use to objectively
measure performance and what data really counts, along with where
to find it, how to get it, and how to analyze it. The book also
shows how all team members can publish their own metrics through
dashboards and radiators, taking charge of communicating
performance and individual accountability. Along the way, it offers
practical data analysis techniques, including a few emerging Big
Data practices. KEY SELLING POINTS Straightforward to-the-point
writing Contains techniques and tools to improve output Uses
everyday examples to get readers up and running quickly Empowers
and motivates Agile teams to measure and improve AUDIENCE The
reader will ideally be on or be responsible for a team that is
practicing Agile development or is about to begin using Agile
development. ABOUT THE TECHNOLOGY All practices in this book are
designed to work with any development process or tool stack. For
its examples, this book uses the Groovy scripting language to
gather data and Grails to create the web based dashboards and
radiators. MongoDB, a flexible database with built in data
analysis, is used to dissect and serve up the data.
General
Imprint: |
Manning Publications
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Country of origin: |
United States |
Release date: |
July 2015 |
First published: |
2015 |
Authors: |
Christopher Davies
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Dimensions: |
235 x 185 x 10mm (L x W x T) |
Format: |
Paperback
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Pages: |
267 |
ISBN-13: |
978-1-61729-248-4 |
Categories: |
Books >
Computing & IT >
Computer programming >
General
|
LSN: |
1-61729-248-6 |
Barcode: |
9781617292484 |
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