Because no evidence of new physics has been found in the slew of Large Hadron Collider (LHC) data, and limits on simplified models (typically used to interpret data from LHC searches for supersymmetry) do not translate to actual limits on full models, it is necessary to systematically quantify how full models are constrained by the data. This led to the development of many reinterpretation software. The SModelS software package is one of them and is the subject of this chapter. The latter gives a general description of SModelS v2.3 (used to obtain the main results of this thesis), its working principle, its database structure and its outputs. It also presents the statistical inference and the different types of likelihoods used by SModelS, and introduces the recent SModelS developments, with an emphasis on the author’s contributions.