Utilizing recommender systems to support software requirements elicitation
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering
From collective knowledge to intelligence: pre-requirements analysis of large and complex systems
Proceedings of the 1st Workshop on Web 2.0 for Software Engineering
On-demand feature recommendations derived from mining public product descriptions
Proceedings of the 33rd International Conference on Software Engineering
Group decision support for requirements negotiation
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Issue-based variability management
Information and Software Technology
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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.