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Towards Integrating Data-Driven Requirements Engineering into the Software Development Process: A Vision Paper

  • Xavier Franch
  • Norbert Seyff
  • Marc OriolEmail author
  • Samuel Fricker
  • Iris Groher
  • Michael Vierhauser
  • Manuel Wimmer
Conference paper
  • 59 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12045)

Abstract

[Context and motivation] Modern software engineering processes have shifted from traditional upfront requirements engineering (RE) to a more continuous way of conducting RE, particularly including data-driven approaches. [Question/problem] However, current research on data-driven RE focuses more on leveraging certain techniques such as natural language processing or machine learning than on making the concept fit for facilitating its use in the entire software development process. [Principal ideas/results] In this paper, we propose a research agenda composed of six distinct research directions. These include a data-driven RE infrastructure, embracing data heterogeneity, context-aware adaptation, data analysis and decision support, privacy and confidentiality, and finally process integration. Each of these directions addresses challenges that impede the broader use of data-driven RE. [Contribution] For researchers, our research agenda provides topics relevant to investigate. For practitioners, overcoming the underlying challenges with the help of the proposed research will allow to adopt a data-driven RE approach and facilitate its seamless integration into modern software engineering. For users, the proposed research will enable the transparency, control, and security needed to trust software systems and software providers.

Keywords

Data-driven requirements engineering Feedback gathering Requirements monitoring Model-driven Engineering 

Notes

Acknowledgements

This work has been supported by: the Spanish project GENESIS (TIN2016-79269-R), the Christian Doppler Forschungsgesellschaft, the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development, and the Austrian Science Fund (FWF) under the grant numbers J3998-N31, P28519-N31, and P30525-N31.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Xavier Franch
    • 1
  • Norbert Seyff
    • 2
  • Marc Oriol
    • 1
    Email author
  • Samuel Fricker
    • 2
  • Iris Groher
    • 3
  • Michael Vierhauser
    • 3
  • Manuel Wimmer
    • 3
  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.University of Applied Sciences and Arts Northwestern Switzerland FHNWWindischSwitzerland
  3. 3.Johannes Kepler University Linz & CDL-MINTLinzAustria

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