An Overview of Recommender Systems in Requirements Engineering

An overview of the research dedicated to the application of recommendation technologies in RE is given and the approaches of collaborative filtering, content-based filtering, clustering, knowledge-based recommendation, group- based recommendation, and social network analysis are discussed.

Abstract

Requirements engineering (RE) is considered as one of the most critical phases in software development. Poorly implemented RE processes are still one of the major risks for project failure. As a consequence, we can observe an increasing demand for intelligent software components that support stakeholders in the completion of RE tasks. In this chapter, we give an overview of the research dedicated to the application of recommendation technologies in RE. On the basis of a literature analysis, we exemplify the application of recommendation technologies in different scenarios. In this context, the approaches of collaborative filtering, content-based filtering, clustering, knowledge-based recommendation, group-based recommendation, and social network analysis are discussed. With the goal to stimulate further related research, we conclude the chapter with a discussion of issues for future work.