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The success and wellbeing of large organizations rely on the smooth functionality and operability of their software. Such qualities are largely affected by evolution events and changes, like software upgrades. In this paper, we are dealing with handling evolution events in data management systems. We consider a data-centric ecosystem that captures relational tables, views and queries (the latter are seeing as software modules that are either internal to the database, e.g., stored procedures, ordoi:10.1109/icdew.2011.5767629 dblp:conf/icde/PapastefanatosVS11 fatcat:dudgum3ferhdpog5nrefqwk7xm