This work focuses on the effects of the cross-slip mechanisms on the microstructure evolution through Dislocation Dynamics Simulations (DDD). A detailed data analysis of the dislocation structure is studied using D2C framework which is a data mining tool that converts the discrete dislocation data to the continuum field variables, which allows us to conduct quantitative analyses of the simulation results. Furthermore, statistical and deep learning methods are used to detect the conditions present in the simulations.