Abstract
Software projects are problematic considering their high overruns in terms of execution time and budget. In large scale projects, the monitoring activity is a very difficult task, due to the very complex relation between resources and constraints, and must be based on a well established methodology. We propose a new approach to the monitoring of large-scale software projects. Our approach is based on project specific data and uses predictions to early detect project execution deviations, enabling the project manager to take early corrective actions. We present as well the reference implementation of the monitoring framework that we propose.
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