Why does an AI-powered test case generator omit corner cases during live test execution

Question

Can you tell me Why does an AI-powered test case generator omit corner cases during live test execution?

Answer 1

An AI-powered test case generator omits corner cases due to biased training data, lack of constraint enforcement, insufficient edge condition recognition, and inadequate mutation-based test generation.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Hypothesis Library for Fuzz Testing: Automatically generates diverse test cases.
• Edge Case Handling: Detects division by zero and unexpected exceptions.
• Randomized Input Testing: Covers a wide range of values to catch corner cases.
• Ensures Output Type Consistency: Validates the expected data types.
• Automatic Constraint Checking: Enforces logical correctness in test execution

Hence, preventing omission of corner cases in AI-generated test cases requires constraint-driven input generation, property-based testing (e.g., Hypothesis), and strategic mutation-based test case expansion for robust coverage.