【摘要】 软件过程的知识密集性特征要求组织人员的密切协作、交流,并能够有效地重用组织的实践经验。数据挖掘技术能够从大规模数据中发现有意义的知识,能够为知识管理提供有益的支持,从而得到更好的知识共享和重用效果。在对软件过程进行分析的基础上,提出了协同知识管理模型。介绍了一个集成的面向软件过程的知识挖掘与管理系统iKnow。对iKnow的知识表示、知识挖掘、知识服务和个性化知识检索进行了论述。系统使软件组织的实践经验成为可视、可控和可重用的知识资源。更多还原

【Abstract】 The knowledge intensive feature of software process requires both cooperation & communication among people and reuse of experiences. Data mining (DM) focuses on the extraction of interesting patterns from data in large databases. It can improve the effectiveness of knowledge management (KM) in knowledge sharing and reuse. Based on the requirement analysis about KM in software process, a Cooperative Knowledge Management model is proposed. A software process oriented knowledge mining and management system named iKnow is introduced. Technologies about knowledge representation, DM, knowledge services and personalized knowledge retrieval of iKnow are discussed in detail. This system helps software organization’s experiences become a kind of visible, controllable, and reusable knowledge resources.更多还原