This paper was published at the Digital Twin Experiences and Model-Based Testing Methods workshop at AEiC 2026 (DT-MBT 2026), as part of the MONA LISA project.
Who Tests the Tests? Model-Based Validation of AI-Generated Test Cases
A conceptual framework that uses model-based testing to check AI-generated test cases and classify them as model-backed, model-extending or model-inconsistent.
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