Many existing clone detection approaches produce substantial
amounts of clones that are irrelevant to software engineers.
These false positives signicantly hinder adoption of
clone detection in practice and can lead to inaccurate research
conclusions. In this paper, we propose clone coupling
as an explicit criterion for the relevance of clones and outline
a method for clone detection tailoring. The results of a
large industrial case study indicate that it can signicantly
increase clone detection accuracy.