In model-driven engineering, metamodels may get lost over time resulting in the inability to load and view existing model instances. MARS is a system that recovers metamodels from model instances using grammar inference. This paper discusses advances in MARS that improve accuracy and scalability. Keywords Metamodel, Grammar Inference, Multi-tiered domain
Qichao Liu, Faizan Javed, Marjan Mernik, Barrett R