Title :
Using a novel approach to cluster analysis to gain new valuable insights into software-project risk management
Author :
Alencar, Antonio Juarez ; Cruz, Leôncio Teixeira ; Schmitz, Eber Assis ; Ferreira, Armando Leite
Author_Institution :
Inst. of Math. & Electron. Comput. Center, Center Fed. Univ. of Rio de Janeiro, Rio de Janeiro
Abstract :
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.
Keywords :
pattern clustering; project management; risk management; software management; statistical analysis; cluster analysis; risk management; software project; Europe; Financial management; Informatics; Information technology; Mathematics; Performance analysis; Productivity; Project management; Risk analysis; Risk management;
Conference_Titel :
Business-driven IT Management, 2008. BDIM 2008. 3rd IEEE/IFIP International Workshop on
Conference_Location :
Salvador
Print_ISBN :
978-1-4244-2191-6
DOI :
10.1109/BDIM.2008.4540074