Using AI to model quality attribute tradeoffs

Abstract

Many AI techniques have been applied to goal-oriented requirements engineering. However, such techniques have focused mostly on the intellectual challenge and ignored the engineering challenge of RE at scale. We discuss some of these existing approaches. We then introduce some early work that aims to add contextual quality attribute information to leverage the power of AI techniques and tools with real-world engineering. We believe this will address some of the acquisition and context problems that have plagued AI in RE.