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| 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 |
| ISBN | 9781450320627 |
| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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