**6. Conclusion**

The extreme importance of information and associated knowledge to ensure an effective management of risk demands paying greater attention both to the understanding of the effects of randomness in projects and to the learning of available means to capture this variability. The present work focuses on the second issue and introduces a framework to classify techniques supporting project risk management based on their purpose and the context for which they are most suitable. The main aim is incrementing communication and knowledge enabling a quantification of risk. The scheme is general and can be applied to very diverse projects in numerous industries.
