SGER: Applying Digital Evolution to Behavioral Models

SGER：将数字进化应用于行为模型

• 批准号: 0750787
• 负责人: Betty Cheng
• 金额: --
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0750787&HistoricalAwards=false
• 关键词: SGER; Applying; Digital; Evolution; Behavioral

ABSTRACT0750787ChengMichigan StateThe Problem. Computing technology now affects nearly every dimension of modern society: managingcritical infrastructure such as power grids and telecommunication networks; supporting electronic commerceand medical information systems; and controlling the operation of aircraft and automobiles. This pervasiveness of computing technology, coupled with its rapidly increasing complexity, gives rise to the need for computer systems that are able to adapt to changing conditions. In the last decade, extensive research has been conducted on many aspects of self-adaptive software systems. Examples include adaptive software mechanisms [1 20]; software-architecture-based techniques for supporting dynamic adaptation [21 38]; adaptable and extensible operating systems [39 42]; and requirements-level and formal methods-based techniques [43 52]. This research has greatly improved our understanding of adaptive software and several key supporting concepts, including computational reflection [53 55], separation of concerns [12, 56], component-based design [57, 58], and transparent interception of program flow [59 61].Despite these advances, designing an adaptive software system remains a very challenging task. We speculatethat much of the difficulty is due to the fact that adaptive software is being designed and implemented usingtraditional tools and environments intended for the development of non-adaptive software. We contend that thefull potential of dynamically adaptive software systems cannot be realized without fundamental advances inthe corresponding development environments. Such environments must enable developers to explicitly addressthose aspects of the design problem that distinguish adaptive systems from non-adaptive systems. These issuesinclude anticipating how the software may need to adapt in the future, constructing decision-making softwareto govern the adaptation, and ensuring that system integrity is not compromised by adaptation.

Abstract0750787Chengmichigan statethe问题。现在，计算技术影响了现代社会的几乎每个方面：管理危机基础设施，例如电网和电信网络；支持电子商业信息系统；并控制飞机和汽车的操作。计算技术的这种普遍存在，再加上其快速增加的复杂性，这引起了对能够适应不断变化条件的计算机系统的需求。在过去的十年中，对自适应软件系统的许多方面进行了广泛的研究。例子包括自适应软件机制[1 20]；基于软件架构的基于支持动态适应的技术[21 38]；适应性且可扩展的操作系统[39 42]；以及基于需求级和正式方法的技术[43 52]。这项研究大大提高了我们对自适应软件和几个关键支持概念的理解，包括计算反思[53 55]，关注点分离[12，56]，基于组件的设计[57，58]和程序流的透明拦截[59 61]。我们推测许多困难是由于使用传统工具和环境设计和实施了用于开发非自适应软件的事实。我们认为，如果没有在相应的开发环境中的基本进步，动态自适应软件系统的全部潜力将无法实现。这样的环境必须使开发人员能够明确解决设计问题的各个方面，这些方面将自适应系统与非自适应系统区分开。这些问题包括预期该软件可能需要在将来适应，构建决策Softwareto管理改编，并确保不受适应性的系统完整性不损害系统的完整性。