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The Quest for Introducing Technical Debt Management in a Large-Scale Industrial Company

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Software Architecture (ECSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12292))

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Abstract

The long lifetime and the evolving nature of industrial products make them subject to technical debt management at different levels such as architecture and code. Although the classical steps to perform technical debt management are known, in a study that we have been performing in a large-scale industrial company as our client, we realized that finding a starting point, which leads to the desired outcome, is in fact a major challenge. This paper elaborates on various causes that we have identified for this challenge, and discusses our stepwise approach to address them so that the software quality can be improved. We believe that our experiences can be beneficial for both practitioners and researchers to gain more insight into applying quality improvement in practice as well as indicating open areas for further research.

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Author information

Authors and Affiliations

  1. ABB Corporate Research Center, Ladenburg, Germany

    Somayeh Malakuti

  2. Softability Group Oy, Helsinki, Finland

    Sergey Ostroumov

Authors
  1. Somayeh Malakuti
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  2. Sergey Ostroumov
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Corresponding author

Correspondence to Somayeh Malakuti .

Editor information

Editors and Affiliations

  1. Koninklijke Philips N.V., Eindhoven, The Netherlands

    Anton Jansen

  2. VU Amsterdam, Amsterdam, The Netherlands

    Ivano Malavolta

  3. University of L’Aquila, L’Aquila, Italy

    Henry Muccini

  4. Carnegie Mellon University, Pittsburg, PA, USA

    Ipek Ozkaya

  5. University of Applied Sciences of Eastern Switzerland, Rapperswil, Switzerland

    Olaf Zimmermann

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Malakuti, S., Ostroumov, S. (2020). The Quest for Introducing Technical Debt Management in a Large-Scale Industrial Company. In: Jansen, A., Malavolta, I., Muccini, H., Ozkaya, I., Zimmermann, O. (eds) Software Architecture. ECSA 2020. Lecture Notes in Computer Science(), vol 12292. Springer, Cham. https://doi.org/10.1007/978-3-030-58923-3_20

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  • DOI: https://doi.org/10.1007/978-3-030-58923-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58922-6

  • Online ISBN: 978-3-030-58923-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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