A systematic mapping study on enterprise architecture mining

被引:14
|
作者
Perez-Castillo, Ricardo [1 ]
Ruiz-Gonzalez, Francisco [1 ]
Genero, Marcela [1 ]
Piattini, Mario [1 ]
机构
[1] Univ Castilla La Mancha, Informat Technol & Syst Inst, Paseo Univ 4, E-13071 Ciudad Real, Spain
关键词
Enterprise architecture (EA) mining; model extraction; model elicitation; TOGAF; ArchiMate; systematic mapping study (SMS); INFORMATION-SYSTEMS; FRAMEWORK;
D O I
10.1080/17517575.2019.1590859
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Enterprise architecture allows companies to deal with digital transformation through the proactive presentation and alignment of business and IT in a holistic manner. One important challenge is EA modelling since it is time-consuming (thus expensive), error-prone, and biased owing to experts' subjective opinions. This challenge might consequently be addressed through automatic EA modelling. We conducted a systematic mapping study to classify and evaluate the research concerning EA mining proposals developed specifically for TOGAF and Archimate. After analysing results, we concluded that the research field is not sufficiently mature and further research on EA mining is necessary.
引用
收藏
页码:675 / 718
页数:44
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