  Code clones are identical or similar code segments. The wide existence of
code clones can increase the cost of maintenance and jeopardise the quality of
software. The research community has developed many techniques to detect code
clones, however, there is little evidence of how these techniques may perform
in industrial use cases. In this paper, we aim to uncover the differences when
such techniques are applied in industrial use cases. We conducted large scale
experimental research on the performance of two state-of-the-art code clone
detection techniques, SourcererCC and AutoenCODE, on both open source projects
and an industrial project written in the Scala language. Our results reveal
that both algorithms perform differently on the industrial project, with the
largest drop in precision being 30.7\%, and the largest increase in recall
being 32.4\%. By manually labelling samples of the industrial project by its
developers, we discovered that there are substantially less Type-3 clones in
the aforementioned project than that in the open source projects.
