In this paper, we describe a case study at Philips Healthcare MRI focusing on evolutionary couplings, i.e., a technique to infer relationships among modules by analyzing their history of changes in the source code archive. In this case study, we failed to transfer CouplingViewer, a tool implementing the current state-of-art in evolutionary couplings, to industry. According to the industrial experts an important industrial requirement was not met: the signal-to-noise ratio was too low.