Nikhitha Rajashekar, Simon Hacks, Nuno Silva:
A Performance Comparison of Graph Analytic Methods for Supporting Enterprise Architecture Model Maintenance
Enterprise Architecture (EA) models help enterprise architects to make business decisions and to support organisations to understand and analyse the performance of business processes. Creating and maintaining such an EA model is expensive and time-consuming in large organisations. In this paper, the authors provide a review of how graph analytic methods can be used to support EA model maintenance. To achieve the best user experience, it is necessary to evaluate and optimise different graph analytic and Machine Learning (ML) algorithms to support the maintenance process.
The paper will be presented at PoEM Forum, held in Luxembourg.