ISCAS OpenIR
Search based risk mitigation planning in project portfolio management
Xiao, Junchao (1); Osterweil, Leon J. (2); Chen, Jie (1); Wang, Qing (1); Li, Mingshu (1)
2013
会议名称2013 International Conference on Software and Systems Process, ICSSP 2013
页码146-155
会议日期May 18, 2013 - May 19, 2013
会议地点San Francisco, CA, United states
收录类别EI
出版地Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States
ISBN9781450320627
部门归属(1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Department of Computer Science, University of Massachusetts, Amherst, MA 01003-9264, United States; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
摘要Software projects are always facing various risks. These risks should be identified, analyzed, prioritized, mitigated, monitored and controlled. After risks are identified and analyzed, resources must then be devoted to mitigation. However, risk prioritization and mitigation planning are complicated problems. Especially in project portfolio management (PPM), resource contention among projects leads to difficulty in choosing and executing mitigation actions. This paper introduces a search based risk mitigation planning method that is useful in PPM. It integrates the analysis of risks, consideration of available resources, and evaluation of possible effects when taking risk mitigation actions. The method uses a genetic algorithm to search for the risk mitigation plan of optimal value. A case study shows how this method can identify effective risk mitigation plans, thus providing useful decision support for managers. Copyright 2013 ACM.; Software projects are always facing various risks. These risks should be identified, analyzed, prioritized, mitigated, monitored and controlled. After risks are identified and analyzed, resources must then be devoted to mitigation. However, risk prioritization and mitigation planning are complicated problems. Especially in project portfolio management (PPM), resource contention among projects leads to difficulty in choosing and executing mitigation actions. This paper introduces a search based risk mitigation planning method that is useful in PPM. It integrates the analysis of risks, consideration of available resources, and evaluation of possible effects when taking risk mitigation actions. The method uses a genetic algorithm to search for the risk mitigation plan of optimal value. A case study shows how this method can identify effective risk mitigation plans, thus providing useful decision support for managers. Copyright 2013 ACM.
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/16658
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Xiao, Junchao ,Osterweil, Leon J. ,Chen, Jie ,et al. Search based risk mitigation planning in project portfolio management[C]. Association for Computing Machinery, General Post Office, P.O. Box 30777, NY 10087-0777, United States,2013:146-155.
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