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Testing with f#

You're reading from   Testing with f# Deliver high-quality, bug-free applications by testing them with efficient and expressive functional programming

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781784391232
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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Mikael Lundin Mikael Lundin
Author Profile Icon Mikael Lundin
Mikael Lundin
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Table of Contents (12) Chapters Close

Preface 1. The Practice of Test Automation FREE CHAPTER 2. Writing Testable Code with Functional Programming 3. Setting Up Your Test Environment 4. Unit Testing 5. Integration Testing 6. Functional Testing 7. The Controversy of Test Automation 8. Testing in an Agile Context 9. Test Smells 10. The Ten Commandments of Test Automation Index

Visualizing metrics

The key to software projects is early feedback and creating predictability. This means we can see problems long before they appear and create predictability that will give the team a sustainable pace.

One way of creating predictability is by using the sprint concept from Scrum. Instead of having one long waterfall of specification, implementation, test, and release, you define a three week long time box where you take the highest prioritized features from the backlog and finalize those. This is called a sprint, and each sprint is a set of features from the backlog that are most prioritized by the product owner.

The following graph displays a Sprint burndown chart from a project I once ran as the Scrum Master:

Visualizing metrics

On the Y axis is the amount of work left to do in the sprint, and on the X axis are the number of days until the sprint is finished. On day 7, there was a sprint refinement meeting where the decision was made to bring in another story from the backlog into the sprint...

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