A Machine Learning Based Approach To Application Landscape Documentation
PRACTICE OF ENTERPRISE MODELING (POEM 2018)(2018)
摘要
In the era of digitalization, IT landscapes keep growing along with complexity and dependencies. This amplifies the need to determine the current elements of an IT landscape for the management and planning of IT landscapes as well as for failure analysis. The field of enterprise architecture documentation sought for more than a decade for solutions to minimize the manual effort to build enterprise architecture models or automation. We summarize the approaches presented in the last decade in a literature survey. Moreover, we present a novel, machine-learning based approach to detect and to identify applications in an IT landscape.
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关键词
Software asset management, EAM, Machine learning
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