QUESO is a collection of statistical algorithms and programming constructs supporting
into the uncertainty quantification (UQ) of models and their predictions. It has been designed with three objectives: it should (a) be
in order to handle a large spectrum of models, (b) be
, allowing an easy insertion of new and improved algorithms, and (c) take advantage of
, in order to handle realistic models. Such objectives demand a combination of an
with robust software engineering practices. QUESO is written in C++, uses MPI, and leverages libraries already available to the scientific community. We describe some UQ concepts, present QUESO, and list planned enhancements.