A History-Based Automatic Scheduling Model for Personnel Risk Management

Personnel risk is an issue which has not been researched well but plays an important role to determine whether a software project succeeds or fails. Most existing research workfocuses on subjective expertise while an objective view is lacking. Furthermore, to the best of our knowledge, the demand for an automatic tool to support risk management has not been answered yet. In this research, based on objective historical data, we extend our earlier model, cability- based scheduling framework, by including risk analysis. Hence we provide a novel approach to mitigate personnel risks while achieving a project schedule with minimum cost.

[1]  Carl K. Chang,et al.  Capability-based Project Scheduling with Genetic Algorithms , 2006, 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06).

[2]  David Coley,et al.  Introduction to Genetic Algorithms for Scientists and Engineers , 1999 .

[3]  Martin S. Feather Towards a unified approach to the representation of, and reasoning with, probabilistic risk information about software and its system interface , 2004, 15th International Symposium on Software Reliability Engineering.

[4]  Yuhong Yang,et al.  Information Theory, Inference, and Learning Algorithms , 2005 .

[5]  L. Fussell,et al.  The role of the risk management database in the risk management process , 2005, 18th International Conference on Systems Engineering (ICSEng'05).

[6]  David A. Bell,et al.  Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..

[7]  Say Wei Foo,et al.  Software risk assessment model , 2000, Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology. ICMIT 2000. 'Management in the 21st Century' (Cat. No.00EX457).

[8]  F. Baker The basics of item response theory , 1985 .

[9]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[10]  L. C. Briand,et al.  METRIX: a tool for software-risk analysis and management , 1994, Proceedings of Annual Reliability and Maintainability Symposium (RAMS).

[11]  Tao Zhang,et al.  Genetic Algorithms for Project Management , 2001, Ann. Softw. Eng..

[12]  Gary McGraw,et al.  Risk Analysis in Software Design , 2004, IEEE Secur. Priv..

[13]  Ruzhi Xu,et al.  CMM-based software risk control optimization , 2003, IRI.

[14]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[15]  Xu Ruzhi,et al.  CMM-based software risk control optimization , 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

[16]  31st Annual International Computer Software and Applications Conference, COMPSAC 2007, Beijing, China, July 24-27, 2007. Volume 1 , 2007, Annual International Computer Software and Applications Conference.

[17]  Khairuddin Hashim,et al.  A model and prototype tool to manage software risks , 2000, Proceedings First Asia-Pacific Conference on Quality Software.