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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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Toc

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

Data-driven testing

One important aspect when doing integration testing is to be able to test with a diversity of data. This might at times render a lot of repetition, for example, we might want to run the same exact test but with other input values. Instead of writing a unique test for each and every test case, you can write a general test and supply the data for the test separately.

In order to demonstrate this, go back to our address register and query it for addresses. This is what our SUT will look like:

type dbSchema = SqlDataConnection<"Data Source=.;Initial Catalog=Chapter05;Integrated Security=SSPI;">

// find an address by a search string
let searchAddress q (db : dbSchema.ServiceTypes.SimpleDataContextTypes.Chapter05) =
    query {
        for address in db.Address do
        where ((address.StreetName.StartsWith q) ||
                (address.StreetNumber = q) ||
                (address.PostalCode.StartsWith q))
        select address
    }

This function will allow...

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