Cloud Knowledge Capability Maturity Model Integration and Evaluation Method Using a Cloud Knowledge Management System

被引:1
|
作者
Liu G.-S. [1 ]
Zheng T.-T. [1 ]
Yi H.-G. [1 ]
Ding T.-X. [1 ]
机构
[1] Guangdong University of Technology, School of Management, Guangzhou
来源
IEEE Engineering Management Review | 2023年 / 51卷 / 03期
基金
中国国家自然科学基金;
关键词
Cloud knowledge capability maturity model integration; cloud knowledge management system; maturity level; software quality;
D O I
10.1109/EMR.2023.3280311
中图分类号
学科分类号
摘要
Many small and medium-sized enterprises have a scattered business type, uncertainty in the business process, and insufficient knowledge management. Our objective is to these enterprises effectively use knowledge property and improve software implementation efficiency. We propose cloud knowledge capability maturity model integration (CK-CMMI) to address different types of business, strengthen the internal connection of each business procedure, and realize the real-time online maturity assessment. We design a cloud knowledge management system (CKMS) that combines the advantages of knowledge management and capability maturity model integration (CMMI). CKMS uses informatization to facilitate process definition and project implementation. Furthermore, it can build a cloud knowledge base to implement support for processes. To assess the validity of CK-CMMI and CKMS, we applied them in a software enterprise in South China. We found that our system kept the average rate of overdue projects below 37% compared with the previous rate of 126%. Moreover, according to MATLAB simulation results, 70%-90% of the company's projects are supported by the knowledge base, and the overall development period is shortened by approximately 50%. © 1973-2011 IEEE.
引用
收藏
页码:93 / 108
页数:15
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