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A systematic mapping study on enterprise architecture mining
Authors:Ricardo Perez-Castillo  Francisco Ruiz-Gonzalez  Marcela Genero  Mario Piattini
Institution:Information Technology and Systems Institute, University of Castilla-La Mancha, Ciudad Real, Spain
Abstract: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.
Keywords:Enterprise architecture (EA) mining  model extraction  model elicitation  TOGAF  ArchiMate  systematic mapping study (SMS)
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