Towards a Research Agenda for Recommendation Systems in Requirements Engineering

Abstract

To push the right information to the right person at the right time, classical work on recommendation systems focuses on optimizing the rating of recommended items. Recent research on contextawareness and knowledge ex change shows potentials of recommendation systems in en gineering work. Requirements engineering can also profit from recommendation systems in several scenarios, includ ing maintaining requirements, sharing collaboration infor mation and reusing templates. By describing these scenar ios and identifying key realization challenges, this paper presents a vision on recommendation systems in require ments engineering.