Model transformations are crucial for the success of
Model Driven Engineering. Testing is a prevailing technique
of verifying the correctness of model transformation
programs. A major challenge in model transformation testing
is the oracle problem, which refers to the difficulty or
high cost in determining the correctness of the output models.
Metamorphic Testing alleviates the oracle problem by
making use of the relationships among the inputs and outputs
of multiple executions of the target function. This paper
investigates the effectiveness and feasibility of metamorphic
testing in testing model transformation programs. Empirical
results show that metamorphic testing is an effective
testing method for model transformation programs.