Executes a question-bank assessment against answer fixtures you supply — an answer plus the score it should produce — using the native OpenOLAT QTI engine rather than a reimplementation of the scoring rules. Each fixture comes back with expected and actual score, and the discrepancy count says at a glance whether the bank behaves as its author believed. This is the regression test for a question bank before it goes in front of learners, where a mis-scoring item is expensive and hard to undo.