\begin{abstract}
Currently, the number of DDP models generated at JPL is very limited due to the relatively short period of time these models have been around and the long time it takes to get the right project people to meet and discuss requirements, risks, and mitigations. In order to find the best search method to find the best solution to these models, more instances need to be explored and therefore an instance generator is required. Such instance generator has to follow the constraints set by the model and randomize the values of its variables so the external validity of studies done using them is not compromised. This paper explains the rules followed for the implementation a DDP model instance generator.

{\bf Keywords:} Random generator, DDP models, AI search
\end{abstract}
