  Combinatorial Testing (CT) tools are essential to test properly a wide range
of systems (train systems, Graphical User Interfaces (GUIs), autonomous driving
systems, etc). While there is an active research community working on
developing CT tools, paradoxically little attention has been paid to making
available enough resources to test the CT tools themselves. In particular, the
set of available benchmarks to asses their correctness, effectiveness and
efficiency is rather limited. In this paper, we introduce a new generator of CT
benchmarks that essentially borrows the structure contained in the plethora of
available Combinatorial Problems from other research communities in order to
create meaningful benchmarks. We additionally perform an extensive evaluation
of CT tools with these new benchmarks. Thanks to this study we provide some
insights on under which circumstances a particular CT tool should be used.
