SBIR Phase I: Multi-ViewPoint Clustering Analysis for Validation of Knowledge-Based Systems

SBIR 第一阶段：用于验证知识系统的多视点聚类分析

• 批准号: 9660988
• 负责人: Mala Mehrotra
• 金额: $ 7.49万
• 依托单位: Pragati Synergetic Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9660988&HistoricalAwards=false
• 关键词: SBIR; Phase; Multi; ViewPoint; Clustering

*** 9660988 Mehrotra This Small Business Innovation Research Phase I project is to develop a semi-automated tool, based on the Multi-ViewPoint Clustering methodology to perhaps discover significant underlying structures of such complex systems from multiple points of view. By presenting different perspectives of the system one can gain significant insight into different interrelationships across the exposed structures. The ability to develop and maintain large, reliable, complex knowledge-based systems in a cost-effective manner is still a challenging problem. A viable tool to structure knowledge-based systems before they become operational, will enhance their reliability and maintainability. Phase I of the effort will look at the feasibility of automating the analysis process in the MVP-CA software and design an interactive interface for useful information exchange between the user and the system. Such information will prove an invaluable aid for many software life cycle activities such as verification, validation, testing and maintenance of a knowledge-based system. MVP-CA tool will be a significant advantage to software developers and maintainers. It is expected that this tool will be integrated as a value-added product into software development environments to support the following activities: verification, validation, testing, maintenance reengineering and migration of knowledge-based systems software to object-oriented platforms. ***

* 9660988梅赫罗特拉 这个小企业创新研究第一阶段项目是开发一个半自动化的工具，基于多视点聚类方法，也许从多个角度发现这种复杂系统的重要基础结构。通过呈现系统的不同视角，人们可以深入了解整个暴露结构的不同相互关系。 以具有成本效益的方式开发和维护大型、可靠、复杂的知识系统的能力仍然是一个具有挑战性的问题。一个可行的工具，在以知识为基础的系统开始运作之前，将其结构化，将提高其可靠性和可维护性。 第一阶段的工作将研究在MVP-CA软件中自动化分析过程的可行性，并设计一个用户和系统之间交换有用信息的交互界面。这种信息将证明是许多软件生命周期活动的宝贵帮助，如验证，确认，测试和维护知识系统。 MVP-CA工具将是软件开发人员和维护人员的一个重要优势。 预期这一工具将作为增值产品纳入软件开发环境，以支持下列活动：核查、确认、测试、维修重新设计和将以知识为基础的系统软件转移到面向对象的平台。 ***