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Using a novel approach to cluster analysis to gain new valuable insights into software-project risk management

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4 Author(s)
Alencar, A.J. ; Inst. of Math. & Electron. Comput. Center, Center Fed. Univ. of Rio de Janeiro, Rio de Janeiro ; Cruz, L.T. ; Schmitz, E.A. ; Ferreira, A.L.

This work presents a method that provides organizations and their project managers with a better understanding of the implications of the risks that software projects are subjected to. The method, which is based upon a novel approach to cluster analysis, generates a set of business rules indicating how risk factors may influence project performance. These rules are easy to read and understand, making it easier for managers to identify what needs to be done and when it needs to be done, before the worst happens.

Published in:

Business-driven IT Management, 2008. BDIM 2008. 3rd IEEE/IFIP International Workshop on

Date of Conference:

7-7 April 2008