Towards a Research Agenda for Recommendation Systems in Requirements Engineering

This paper presents a vision on recommendation systems in require engineering, describing these scenar ios and identifying key realization challenges.

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 context-awareness and knowledge exchange shows potentials of recommendation systems in engineering work. Requirements engineering can also profit from recommendation systems in several scenarios, including maintaining requirements, sharing collaboration information and reusing templates. By describing these scenarios and identifying key realization challenges, this paper presents a vision on recommendation systems in requirements engineering.