Sebastian Siatkowski, Chuanhe Jay Shan, Li-C. Wang, N. Sumikawa, W. R. Daasch, J. Carulli
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Outlier screening is a popular approach for testing automotive products. In practice, developing an outlier model can be subjective, making justification of the model challenging. In this paper we propose a new concept called Consistency which provides a data-driven objective way to assess an outlier model. We study the development of outlier models in view of this new model consistency concept and report experimental findings on an automotive product line.