Towards an Integration of Multiple Process Improvement Reference Models Based on Automated Concept Extraction

被引:0
|
作者
Jeners, Simona [1 ]
Lichter, Horst [1 ]
Dragomir, Ana [1 ]
机构
[1] Rhein Westfal TH Aachen, Res Grp Software Construct, Aachen, Germany
关键词
process improvement; improvement reference models; natural language processing; CMMI;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A variety of process improvement reference models (IRM) such as CMMI, COBIT or ITIL support IT organizations. These reference models cover different domains (e.g. IT development, IT Services or IT Governance) but also share some similarities. There are organizations that address multiple domains and want to use different IRMs. As IRMs are described in different structures and are using different terminologies, we propose a tool based approach to extract IRMs' concepts and to normalize the terminologies. Our solution enables to semi-automatically build an integrated database of IRMs' concepts based on common meta-models and on a common terminology.
引用
收藏
页码:205 / 216
页数:12
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