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An Overview of Recommender Systems in Requirements Engineering

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Managing Requirements Knowledge

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.

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Notes

  1. 1.

    Note that the parameter \( s \) in Formula 14.1 represents a user profile; however, this approach can as well be applied to calculate the similarities between different requirements, that is, \( sim({r_i},{r_j}) \).

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Acknowledgements

The work presented in this chapter has been conducted in the IntelliReq (829626) research project funded by the Austrian Research Promotion Agency.

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Authors and Affiliations

  1. Graz University of Technology, Graz, Austria

    A. Felfernig, G. Ninaus, H. Grabner & F. Reinfrank

  2. wsop, Vienna, Austria

    L. Weninger

  3. Technische Universität München, Munich, Germany

    D. Pagano

  4. University of Hamburg, Hamburg, Germany

    W. Maalej

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  1. A. Felfernig
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  2. G. Ninaus
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  3. H. Grabner
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  4. F. Reinfrank
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  5. L. Weninger
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  6. D. Pagano
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  7. W. Maalej
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Correspondence to A. Felfernig .

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Editors and Affiliations

  1. Department of Informatics / MOBIS, University of Hamburg, Vogt-Kölln-Str. 30, Hamburg, 22527, Germany

    Walid Maalej

  2. Harman Becker Automotive Systems GmbH, Moosacher Str. 48, Munich, 80809, Germany

    Anil Kumar Thurimella

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Felfernig, A. et al. (2013). An Overview of Recommender Systems in Requirements Engineering. In: Maalej, W., Thurimella, A. (eds) Managing Requirements Knowledge. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34419-0_14

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  • DOI: https://doi.org/10.1007/978-3-642-34419-0_14

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