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兵工学报 ›› 2011, Vol. 32 ›› Issue (2): 217-224.

• 论文 • 上一篇    下一篇

基于模块耦合性的风险关联性研究

孟锦, 蒋黎明, 李千目, 张宏   

  1. (南京理工大学 计算机科学与技术学院, 江苏 南京 210094)
  • 收稿日期:2009-06-19 修回日期:2009-06-19 上线日期:2014-05-04
  • 通讯作者: 孟锦 E-mail:mengjin1107@yahoo.com.cn
  • 作者简介:孟锦(1984—),女,博士研究生
  • 基金资助:
    国家自然科学基金资助项目(90718021;60903027); 自主科研先期投入计划(2010XQTR04)

Research on Risk Correlation Based on the Module Coupling

MENG Jin, JIANG Li-ming, LI Qian-mu, ZHANG Hong   

  1. (School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China)
  • Received:2009-06-19 Revised:2009-06-19 Online:2014-05-04
  • Contact: MENG Jin E-mail:mengjin1107@yahoo.com.cn

摘要: 已有的软件风险管理研究主要集中在对整个系统的所有模块的风险管理,为了缩小风险管理的范围,提出了模块风险关联集的概念,将风险管理缩小到相关模块的管理。基于模块耦合性的相关理论方法对模块风险关联性进行定义和分析,提出了模块风险关联度和模块风险关联集的概念,给出模块耦合度,将系统风险分析缩简成为模块和相关模块风险分析。在此基础上,制定了模块风险关联度和模块风险关联集的求解算法模型——改进的multi-Dijkstra算法,对模块风险关联度进行度量,求解出模块风险关联集。最后,通过实验验证了本文算法的正确性和模块风险关联研究的有效性。

关键词: 计算机软件, 软件系统, 风险管理, 模块耦合, 模块风险关联, multi-Dijkstra算法

Abstract: The existing software risk management mainly focuses on all modules of the whole system. To narrow the scope of risk management, the concept of module risk correlation set is proposed to reduce the risk management to the management of related modules. To reduce the system risk analysis to the risk analysis of the module and the correlative module, the module risk correlation is defined and analyzed based on the theory and methods of module coupling, the concept of module risk correlation measure and module risk correlation set is proposed, and the module coupling measure is given. On the basis of this, the solution algorithm model of module risk correlation measure and module risk correlation set is established——the reformative multi-Dijkstra algorithm, the module risk correlation measure is measured, and the module risk correlation set is obtained. Finally, the correctness of the algorithm and effectiveness of the research of related risk module is verified through the experimental results.

Key words: computer software, software system, risk management, module coupling, module risk correlation, multi-Dijkstra algorithm

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