Title :
Risk evaluation process modeling in software project investment based on Bayesian networks
Author :
Xie, Jing ; Feng, Nan
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
A risk evaluation model in software project investment based on Bayesian networks (BNs) is presented in this paper. The BNs parameter learning is applied to the modeling process based on sample data set, so that the BNs is more accordant with the project feature in the software project investment phase. In addition, the validity of the parameter learning is validated with algorithm precision and convergence. Practice proves that the risk evaluation model can provide the accurate risk information for decision-makers in the process of software project investment.
Keywords :
belief networks; learning (artificial intelligence); project management; risk management; software management; BN parameter learning; Bayesian networks; risk evaluation process modeling; software project investment; Bayesian methods; Investments; Probability distribution; Project management; Quality management; Random variables; Risk analysis; Risk management; Software maintenance; Testing; Bayesian Networks (BNs); parameter learning; risk evaluation model; software project investment;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344417
