State Machine Testing in Elixir: Improving Model Statistics with PropEr

Writing robust concurrent software in Elixir requires rigorous testing, but standard unit tests often miss deep, hidden edge cases. Property-based testing with state machines offers a powerful way to find these bugs, yet designing accurate models that generate meaningful test coverage can be challenging. This text-based course guides you through refining your state machine models and adjusting callbacks to produce highly accurate test statistics and reliable software. You will learn to understand the core principles of property-based testing and state machine modeling, configure PropEr to generate diverse test cases for complex state transitions, adjust model callbacks to align your test specifications with real-world system behavior, analyze and improve test statistics to ensure comprehensive state coverage, and implement modern Elixir testing patterns for robust test suites. You will start with foundational testing terminology and basic model setup before moving into callback adjustments and statistical analysis. Through clear written explanations and practical code snippets, you will learn to debug and optimize your test models step-by-step. This course is designed for Elixir developers looking to adopt property-based testing; basic familiarity with Elixir is recommended, but no prior experience with PropEr or state machine testing is required. Start reading today to build more resilient Elixir applications through precise, statistical state machine testing.