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Introducing Data Science Techniques into a Company Producing Electrical Appliances

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Database and Expert Systems Applications - DEXA 2022 Workshops (DEXA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1633))

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Abstract

Industry-academia collaboration in the field of software engineering is posing many challenges. In this paper, we describe our experience in introducing data science techniques into a company producing electrical appliances. During the collaboration, we worked on-site together with the engineers of the company, focusing on steady communication with the domain experts and setting up regular meetings with the stakeholders. The continuous exchange of expertise and domain knowledge was a key factor in our collaboration. This paper presents the adopted collaboration approach, the technology transfer process, the results of the collaboration, and discusses lessons learned.

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Notes

  1. 1.

    We report here the technology transfer process exactly as published in [7]. Activities are represented as nodes. The thicker lines around nodes represent starting and end nodes. The overlapping node “Study state of the art” over “Problem formulation” represents a “part-of” relationship between the two nodes. Directed edges represent transition possibilities between nodes.

  2. 2.

    https://scikit-learn.org/stable/index.html.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, Free University of Bozen-Bolzano, 39100, Bolzano, Italy

    Tim Kreuzer & Andrea Janes

Authors
  1. Tim Kreuzer
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  2. Andrea Janes
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Corresponding author

Correspondence to Andrea Janes .

Editor information

Editors and Affiliations

  1. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Gabriele Kotsis

  2. Technical University of Vienna, Vienna, Austria

    A Min Tjoa

  3. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

  4. Software Competence Center Hagenberg, Hagenberg, Austria

    Bernhard Moser

  5. (WU) Vienna University of Economics and Business, Vienna, Austria

    Alfred Taudes

  6. Johannes Kepler University of Linz, Linz, Austria

    Atif Mashkoor

  7. Johannes Kepler University of Linz, Linz, Austria

    Johannes Sametinger

  8. Software Competence Center Hagenberg, Hagenberg, Austria

    Jorge Martinez-Gil

  9. Software Competence Center Hagenberg, Hagenberg, Austria

    Florian Sobieczky

  10. Software Competence Center Hagenberg, Hagenberg, Austria

    Lukas Fischer

  11. Software Competence Center Hagenberg, Hagenberg, Austria

    Rudolf Ramler

  12. Pak-Austria Fachhochschule - Institute of Applied Sciences and Technology (PAF-IAST), Haripur, Pakistan

    Maqbool Khan

  13. Software Competence Center Hagenberg, Hagenberg, Austria

    Gerald Czech

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Kreuzer, T., Janes, A. (2022). Introducing Data Science Techniques into a Company Producing Electrical Appliances. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633. Springer, Cham. https://doi.org/10.1007/978-3-031-14343-4_20

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  • DOI: https://doi.org/10.1007/978-3-031-14343-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14342-7

  • Online ISBN: 978-3-031-14343-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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