Data-Driven Requirements Engineering. The SUPERSEDE Way

This keynote addresses the challenges and opportunities for today requirements engineering, which are introduced by the ever growing amount of data generated by software at use. Data analytics techniques, which exploit artificial intelligence algorithms can be used to build tools to support requirements engineers to take faster and better quality decisions. A concrete example is the SUPERSEDE tool-suite that supports planning new software releases on the basis of the analysis of user feedback and usage data. Main open research challenges are pointed out.