Recovery And Enhancement Of System Patterns Infoschemata And Infomaps

W. M. Jaworski, A. Michailidis
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引用次数: 1

Abstract

Evolving systems demand technology transfer. Knowledge is the most important ingredient in technology transfer. However, the creation of knowledge is a complex, slow and expensive process. Recovery and enhancement of knowledge from existing systems for integration into evolving systems is the logical and more attractive approach. Most of system research and development generates complex concepts. A need for the development of schemata in a multidimensional environment is more evident now than ever before. Team work could be converted from a single to a multi-tasking environment and enable developers to perform tasks concurrently. This paper presents the underlying principles for the recovery and development of reusable system patterns. The proposed approach supports crossfunctional development teams, multidimensional modeling and concurrent engineering paradigms. The evolving model of recovering and analyzing existing patterns is described. This model attempts to minimize the conceptual complexity of systems by identifying and abstracting schemata. The analysis performed on the original concepts and methodologies enables the discovery and integration of simple schemata into a library of reusable patterns. The application of a knowledge recovery process to object-oriented methodologies, CASE tools and development of a patterns library is also presented.
系统模式、信息图式和信息地图的恢复和增强
不断发展的系统需要技术转让。知识是技术转让中最重要的因素。然而,知识的创造是一个复杂、缓慢和昂贵的过程。从现有系统中恢复和增强知识,以便将其集成到不断发展的系统中,这是一种合乎逻辑且更具吸引力的方法。大多数系统研究和开发都会产生复杂的概念。现在,在多维环境中开发模式的需求比以往任何时候都更加明显。团队工作可以从单一任务环境转换为多任务环境,并使开发人员能够并发地执行任务。本文介绍了恢复和开发可重用系统模式的基本原则。所建议的方法支持跨职能开发团队、多维建模和并发工程范例。描述了恢复和分析现有模式的演化模型。该模型试图通过识别和抽象模式来最小化系统的概念复杂性。对原始概念和方法执行的分析支持发现简单模式并将其集成到可重用模式库中。介绍了知识恢复过程在面向对象方法、CASE工具和模式库开发中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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