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• Model-based testing is great for testing generic approaches to correctness and separates validation from execution
• The model can be simplified but can get complicated, and the testing is fragile if there are bugs or optimizations
• The state increases exponentially, making the test fragile
• The model can be generalized beyond HCD
• The testing can validate the operations or the model and generate a report
• The presentation includes an anecdote about using fail points to test HCD and finding a durability issue