Gain insights into property-based testing with PropEr in Erlang. Delve into foundational principles, common frameworks, custom data generators, and applying testing in realistic projects for robust code validation.

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Property-based testing relies on specifying some property of code, rather than unit tests which specify the expected output in response to some inputs. In this course, you’ll cover the concepts you need to get started, up to the point where you feel confident enough to use the most advanced features of PropEr with Erlang.

You’ll start smoothly with the basic and foundational principles of property-based testing. From there, you will cover some of the common frameworks, how to think in properties, how to write your own custom data generators, and more. You'll also see how you can use Property-Based Testing in a realistic project.

By the time you finish this course, you will be comfortable testing real-world applications using properties.

Property-Based Testing with PropEr in Erlang

# Adding the call-back
Let's take a look at the call-backs

The call-back is in the `test/prop_break.erl` file in the code below between line 64 and line 73. It has been highlighted.

The call raises the probability of any call forcing a transition from `ok` to `tripped` and also increases the probability of all error calls in the `ok` state; the rest of calls remain neutral in terms of probabilities. These calls include error calls while already in the `tripped` state, manual blocks, and more.

Let's run the code and see what we get. 

# Running the code

Understand how the statistics of the tests could be improved using the optional weight callback. 

Adjusting the Model: Better Statistics

Understand how the statistics of the tests could be improved using the optional weight callback.

Foundations of Property-Based Testing

Writing Properties

Thinking in Properties

Custom Generators

Responsible Testing

Properties-Driven Development

Shrinking

Targeted Properties

Stateful Properties

Case Study: Bookstore

State Machine Properties

Conclusion

Adjusting the Model: Better Statistics

Adding the call-back