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

这个小企业创新研究第一阶段的项目是开发一种半自动化的工具，基于多视点聚类方法，从多个角度发现这种复杂系统的重要底层结构。通过呈现系统的不同视角，人们可以对暴露的结构之间的不同相互关系获得重要的见解。以经济有效的方式开发和维护大型、可靠、复杂的基于知识的系统的能力仍然是一个具有挑战性的问题。在以知识为基础的系统投入运作之前，一个可行的工具来构建它们，将提高它们的可靠性和可维护性。第一阶段将研究在MVP-CA软件中自动化分析过程的可行性，并设计一个交互界面，以便在用户和系统之间交换有用的信息。这些信息将被证明是许多软件生命周期活动的宝贵援助，例如基于知识的系统的验证、确认、测试和维护。MVP-CA工具将成为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集成到软件开发环境中，以支持下列活动：核查、确认、测试、维护、再工程和将基于知识的系统软件迁移到面向对象的平台。＊＊＊

*** 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. ***