Robustness Analysis of a Methodology to Detect Biases, Inconsistencies and Discrepancies in the Evaluation Process.

This paper analyzes the robustness and stability of a published methodology to improve the evaluation of complex projects in university courses. For this purpose, different types of experiments are performed on a dataset (e.g. elimination of features, input perturbations) of a subject in Computer Systems at the University of La Rioja (Spain); then, the methodology is reapplied, analyzing whether the final conclusions remain similar. The results show that the conclusions obtained, despite the variations introduced, are consistent.