SoD-HCER: Incorporating Uncertainty in the Evaluation of Software Designs

计算机与信息科学与工程理事会（CISE）部门计算机与网络系统（CNS）设计科学（SoD）计划提案号：0613823 P/I: Mary ShawPI的部门：计算机科学机构：卡内基梅隆大学奖金：132,021美元标题：“SoD- hcer：将不确定性纳入软件设计的评估“这个项目涉及一个系统框架的开发，即软件信任链，用于编纂和管理软件设计中的不确定性。本研究通过设计和验证评估信息的表示，为信任链奠定了基础，该表示还捕获了信任信息和分析成本，并支持信息的动态更新。此外，该项目将探索处理不确定性的两种具体技术，描述随时间变化的需求和资源的不确定性，并通过改进最终用户表达其需求和期望的方法来减少最终用户需求和期望的不确定性。建议的研究将为描述和管理软件设计中的不确定性提供科学的基础，特别是在设计过程的早期，而进行更改仍然相对便宜。将不确定性和置信度的评估直接与分析联系起来，将改善客户所看到的成本和收益的联系，使关于软件开发的业务决策更加明智。这个项目将通过提供一种统一的方法来描述和管理不确定性，从而提高我们对设计的基本理解，这种方法可以识别并保留不确定性和信心来源之间的关系。它将提供分析技术，既提供有用的分析能力，又探索不确定性的不同方面，特别是在设计的早期阶段。它将有助于对特定类型的不确定性管理的科学理解，并有助于发展预测性评价的更普遍挑战。此外，这项研究将有助于发展一个全面的模型，严格联系广泛的分析类的长期目标。它还将有助于在软件设计和成熟的商业模型之间建立跨学科的桥梁。在不确定的情况下，为寻找具有成本效益的设计点而开发科学基础，有望改善整个社区使用的产品，例如，使从类似的竞争产品中进行选择变得更容易。同样，增加对用户偏好的关注，特别是对偏好的动态适应，应该会使计算对日常用户来说不那么难以理解。项目经理：Anita J. La SalleDate: 2006年7月5日

Directorate for Computer and Information Science and Engineering (CISE)Division Computer and Network Systems (CNS)Science of Design (SoD) ProgramProposal Number: 0613823 P/I: Mary ShawPI's Department: Computer ScienceInstitution: Carnegie-Mellon UniversityAward: $132,021Title: "SoD-HCER: Incorporating Uncertainty in the Evaluation of Software Designs"This project involves the development of a systematic framework, the software confidence chain, for codifying and managing uncertainty in software design. This research lays the groundwork for confidence chains by designing and validating a representation for evaluation information that also captures confidence information and cost of analysis and that supports dynamic update of the information. In addition, the project will explore two specific techniques for handling uncertainty, characterizing uncertainty about requirements and resources that change over time and reducing uncertainty about end users' needs and expectations by improving ways for them to express their needs and expectations. The proposed research will provide a scientific basis for describing and managing uncertainty in software design, especially early in the design process, while it is still relatively inexpensive to make changes. Connecting assessments of uncertainty and confidence directly to analysis will improve the linkage to costs and benefits seen by clients, enabling more informed business decisions about software development. This project will improve our fundamental understanding of design by providing a unified approach to describing and managing uncertainty that recognizes and preserves the relations among sources of uncertainty and confidence. It will contribute analysis techniques that both provide useful analysis power and explore different facets of uncertainty, especially in the early stages of design. It will contribute both to a scientific understanding of specific types of uncertainty management and to the more general challenge of developing predictive evaluations. In addition, the research will contribute to a longer-term objective of developing a comprehensive model that rigorously relates a wide class of analyses. It will also help to establish an interdisciplinary bridge between software design and well-established business models. Development of a scientific basis for finding design points that are cost effective in light of uncertainty holds promise for improving products used by the community at large, for example by making it easier to select from among similar competing products. Similarly, increased attention to user preferences, especially for dynamic adaptation to preferences, should make computing less inscrutable to everyday users.Program Manager: Anita J. La SalleDate: July 5, 2006