The software engineering laboratory: an operational software experience factory
ICSE '92 Proceedings of the 14th international conference on Software engineering
Effective experience repositories for software engineering
Proceedings of the 25th International Conference on Software Engineering
Security Risks: Management and Mitigation in the Software Life Cycle
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Hierarchical Decision Tree Induction in Distributed Genomic Databases
IEEE Transactions on Knowledge and Data Engineering
A Risk Taxonomy Proposal for Software Maintenance
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Empirical investigation on knowledge packaging supporting risk management in software processes
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Empirical investigation on knowledge packaging supporting risk management in software processes
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
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Project risks management is a non trivial task based on manager experience and knowledge collected in past executed projects. The larger the project manager experience and the available enterprise risk knowledge, the better the enterprise ability in risk management will be. For this reason the scientific community has focused its attention on the identification of methods, tools, and techniques for formalizing experience and know-how and making it available for other projects. In this sense, the authors have already presented a Risk Knowledge Package [1] for managing risk knowledge during software process execution. The work here proposed represents the continuation of such studies. In particular, an empirical investigation in industrial field has been carried out. Such investigation, based on legacy projects of EDS Italia Software SpA, aims at validating the effectiveness and the precision of the proposed approach. The results obtained encourage and stimulate further investigations in different software contexts.