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Model-driven engineering (MDE) often features quality assurance (QA) techniques to help developers creating software that meets reliability, efficiency, and safety requirements. In this paper, we consider the question of how quality-aware MDE should support data-intensive software systems. This is a difficult challenge, since existing models and QA techniques largely ignore properties of data such as volumes, velocities, or data location. Furthermore, QA requires the ability to characterize thedoi:10.1109/mise.2015.21 dblp:conf/icse/CasaleAABNHIJMM15 fatcat:j75xju3pinfm5eouks4ky7zwni