产品敏捷开发知识获取方法研究

Research on Knowledge Acquisition Methods Supporting Product Agile Development

通过分析产品敏捷开发中求解问题及其所需知识,提出了零部件之间的关联知识、任务分解知识、配置决策规则、实例、设计原理等知识的获取方法。构建了量化的设计结构矩阵(DSM),通过关联分析,获取产品配置设计和变型设计过程中零部件之间的关联知识;通过对DSM逐层分解,自底向上分析任务之间的关联关系,获取敏捷产品开发过程中的任务分解知识;将概念学习算法应用到配置决策规则知识的挖掘中,通过构建候选消除算法,不断对变型空间进行修正,从而获取最后的配置决策规则;综合OLAP技术、知识约简技术和NNR方法实现实例的快速检索;通过基于径向基函数(RBF)网络的实例学习算法完成实例的学习过程;对问题-选择-评价(QOC)方法进行扩展,捕获CBR中的设计原理知识。

Knowledge acquisition is the key to product agile development. According to the characteristics of tasks and problems, knowledge acquisition methods and techniques on associated knowledge of parts, task decomposition knowledge, configuration rules, cases and design rationale are addressed. DSM is built to capture the association knowledge among parts during product configuration and variant design. DSM is decomposed to analyze the relationships among tasks. Thus task decomposition knowledge is captured during product agile development. Concept learning algorithm is used to obtain configuration rules. OLAP, knowledge reduction techniques and NNR are applied to retrieve product cases. In addition, RBF network is used to learn cases. QOC method is extended to capture design rationale during CBR.