DocumentCode :
596204
Title :
A Stochastic Simulation Model for Risk Management Process
Author :
Peng Zhou ; Leung, Hareton K. N.
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
Volume :
1
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
737
Lastpage :
742
Abstract :
Risk management is widely accepted as a routine activity in software project management. A simulation model for risk management process can facilitate practitioners in risk management in many aspects, such as understanding of risk management process, predicting risk management outcome, and making informed risk management decision. However the modeling and simulation for software project risk management process is quite limited. In this paper, we propose a stochastic simulation model with due consideration of time element which has not been explicitly modeled. Based on that, a simulator is built for practical use. We also validate our simulation model.
Keywords :
project management; risk management; simulation; software management; stochastic processes; risk management process; software project management; stochastic simulation model; Computational modeling; Object recognition; Planning; Predictive models; Risk management; Software; Stochastic processes; risk management proccess; simulation model; stochastic simulation; time element;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
Conference_Location :
Hong Kong
ISSN :
1530-1362
Print_ISBN :
978-1-4673-4930-7
Type :
conf
DOI :
10.1109/APSEC.2012.12
Filename :
6462738
Link To Document :
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