1. A method comprising: receiving, via a processor, a model, a test case, and one or more suspect elements; calculating, via the processor, a relevance score for each model element of the model based on the one or more suspect elements; setting, via the processor, a threshold reduction score; generating, via the processor, a reduced model by reducing the model based on the relevance scores and the threshold reduction score; evaluating, via the processor, the reduced model based on the test case; detecting, via the processor, the reduced model reproduces an expected behavior; outputting, via the processor, a result model in response to detecting the reduced model reproduces the expected behavior; and modifying, via the processor, an application associated with the model based on the reduced model.