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Data-Driven Requirements Engineering: A Guided Tour

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Evaluation of Novel Approaches to Software Engineering (ENASE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1375))

Abstract

Data-driven approaches are becoming dominant in almost every single software engineering activity, and requirements engineering is not the exception. The analysis of data coming from several sources may indeed become an extremely useful input to requirements elicitation and management. However, benefits do not come for free. Techniques such as natural language processing and machine learning are difficult to master and require high-quality data and specific competences from different fields, whilst their generalization remains as a challenge. This paper introduces the main concepts behind data-driven requirements engineering, provides an overview of the state of the art in the field and identifies the main challenges to be addressed.

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Notes

  1. 1.

    Quote from Ricardo Valerdi (U. Arizona & SpaceX) slides in seminar “Cost Estimation in Systems Engineering” given at UPC-BarcelonaTech, Sept. 2017.

  2. 2.

    https://usabilla.com/.

  3. 3.

    https://www.uservoice.com/.

  4. 4.

    https://stanfordnlp.github.io/CoreNLP/.

  5. 5.

    https://www.nltk.org/.

  6. 6.

    https://pypi.org/project/gensim/.

  7. 7.

    https://firefox-source-docs.mozilla.org/toolkit/components/telemetry/index.html.

  8. 8.

    https://www.sonarqube.org/.

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Acknowledgment

This work is partially supported by the GENESIS project, funded by the Spanish Ministerio de Ciencia e Innovación under contract TIN2016-79269-R. The author wants to deeply thank Fabiano Dalpiaz, Silverio Martínez-Fernández and Marc Oriol for their comments and suggestions over a first draft of the paper.

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  1. UPC-BarcelonaTech, Universitat Politècnica de Catalunya, Barcelona, Spain

    Xavier Franch

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  1. Xavier Franch
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Correspondence to Xavier Franch .

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  1. Hamad Bin Khalifa University, Doha, Qatar

    Raian Ali

  2. TU Wien, Vienna, Austria

    Hermann Kaindl

  3. Wrocław University of Economics Institute of Business Informatics, Wrocław, Poland

    Leszek A. Maciaszek

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Franch, X. (2021). Data-Driven Requirements Engineering: A Guided Tour. In: Ali, R., Kaindl, H., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2020. Communications in Computer and Information Science, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-70006-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-70006-5_4

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