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Hierarchical holographic modeling for software acquisition risk assessment and management.

机译:用于软件获取风险评估和管理的分层全息建模。

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摘要

This dissertation addresses the assessment and management of risks associated with the software acquisition processes from a holistic perspective using hierarchical holographic modeling (HHM). The multiple visions and perspectives within which the life cycle of software acquisition is stated and modeled, provide a comprehensive framework for risk assessment and management of software acquisition. In particular, widely used models in software acquisition such as the COCOMO model, can now be extended to incorporate probabilistic as well as dynamic dimensions. The ultimate contributions of this dissertation can be found in at least two major areas: (a) in the theoretical and methodological domain of systems modeling in the quest of a more quantitative risk assessment and management framework, and (b) in advancing the state of practice in the assessment and management of software acquisition by extending highly used models in practice to incorporate more realistic probabilities and dynamic dimensions.; A probabilistic, multiobjective approach to software estimation that focuses on the risk of extreme events and utilizes the conditional expected value as an additional risk management decision-making metric is developed. Motivated by the software community's transition towards a prototype or spiral development process paradigm, a dynamic software estimation model is developed that is particularly suited for modern software development processes. The dynamic model permits analysis of the impact of management control policies on future decision opportunities, while accounting for changes over time in the development environment and the system requirements. A software estimation updating scheme is developed as an extension of the dynamic software estimation model to account for the differences between actual project resource requirements and the estimates of those requirements, and to update the overall resource requirement projections.; The HHM framework is extended to formulate software acquisition as a hierarchical decision problem. Software acquisition management decision options do not fall entirely in the domain of any single participant community, yet each party is affected by the other's decisions. HHM provides the necessary insight and coordination structure for resolving the competing issues, objectives, and decision opportunities of the several participant communities as they impact the project's cost and schedule.
机译:本文从整体的角度出发,运用分层全息建模(HHM)方法,对与软件获取过程相关的风险进行评估和管理。陈述和建模软件购置生命周期的多种视角和观点为风险评估和软件购置管理提供了一个全面的框架。特别是,现在可以扩展在软件获取中广泛使用的模型(例如COCOMO模型),以结合概率和动态维度。本论文的最终贡献可以在至少两个主要领域中找到:(a)在系统建模的理论和方法论领域中,以寻求更量化的风险评估和管理框架,以及(b)推进风险评估的状态。通过在实践中扩展高度使用的模型以纳入更多现实的概率和动态范围,来评估和管理软件获取。开发了一种概率性,多目标的软件估计方法,该方法侧重于极端事件的风险,并利用条件期望值作为附加的风险管理决策指标。受软件社区向原型或螺旋式开发过程范式过渡的推动,开发了一种动态软件评估模型,该模型特别适合于现代软件开发过程。动态模型允许分析管理控制策略对未来决策机会的影响,同时考虑开发环境和系统需求随时间的变化。开发了软件估算更新方案,作为动态软件估算模型的扩展,以解决实际项目资源需求与这些需求的估算之间的差异,并更新总体资源需求预测。 HHM框架已扩展为将软件获取公式化为分层决策问题。软件获取管理决策选项并不完全属于任何单个参与者社区的范围,但是每一方都受另一方决策的影响。 HHM提供了必要的洞察力和协调结构,以解决多个参与者社区的竞争性问题,目标和决策机会,因为它们影响了项目的成本和进度。

著录项

  • 作者

    Schooff, Richard Maury.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Operations Research.; Engineering System Science.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 运筹学;系统科学;
  • 关键词

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