We study here the possibility of application of data Envelopment Analysis (DEA) to the evaluation of productivity in computational systems development. We choose input and output variables for this process and study the relations between them that may allow to simplify the model. We compare the results of application of different DEA models. The results obtained show that cross evaluation can be successfully applied to rank system development teams working in similar environments.