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International Conference on Software and Software Reuse

ICSR 2022: Reuse and Software Quality pp 79–84Cite as

Evolution Support for Custom Variability Artifacts Using Feature Models: A Study in the Cyber-Physical Production Systems Domain

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13297))

Abstract

Cyber-Physical Production Systems (CPPSs) are constantly evolving, highly configurable, complex software-intensive systems interacting with their environment. The variability of CPPSs must be well-documented to foster reuse, for which the Software Product Line (SPL) community proposed variability models. Unfortunately, industry is mostly unaware of existing variability modeling approaches and frequently develops custom artifacts to document variability, e.g., spreadsheets or Domain-Specific Languages (DSLs). In contrast to SPL variability models, the evolution of these custom artifacts is hardly researched and evolving them remains a tedious and error-prone manual task in practice. In this paper, using two CPPS case studies, we investigate the impact of system evolution on custom artifacts and feature models as a basis for further research. We discuss how feature models could benefit the evolution of DSL-based variability artifacts.

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Notes

  1. 1.

    https://doi.org/10.5281/zenodo.6388741.

  2. 2.

    https://github.com/tuw-qse/cpps-var-case-studies.

  3. 3.

    https://doi.org/10.5281/zenodo.6388657.

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Acknowledgements

The financial support by the Christian Doppler Research Association, the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development is gratefully acknowledged. This work has been partially supported and funded by the Austrian Research Promotion Agency (FFG) via “Austrian Competence Center for Digital Production” (CDP) under contract nr. 881843.

Author information

Authors and Affiliations

  1. LIT CPS Lab, Johannes Kepler University Linz, Linz, Austria

    Kevin Feichtinger & Rick Rabiser

  2. Institute of Information Systems Engineering, TU Vienna, Vienna, Austria

    Kristof Meixner & Stefan Biffl

  3. Christian Doppler Laboratory SQI, TU Vienna, Vienna, Austria

    Kristof Meixner

  4. Austrian Competence Center for Digital Production, Vienna, Austria

    Stefan Biffl

  5. Christian Doppler Laboratory VaSiCS, Johannes Kepler University Linz, Linz, Austria

    Rick Rabiser

Authors
  1. Kevin Feichtinger
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  2. Kristof Meixner
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  3. Stefan Biffl
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  4. Rick Rabiser
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Corresponding author

Correspondence to Kevin Feichtinger .

Editor information

Editors and Affiliations

  1. University of Namur, Namur, Belgium

    Gilles Perrouin

  2. École de Technologie Supérieure, Montreal, QC, Canada

    Naouel Moha

  3. University of Montpellier, Montpellier, France

    Abdelhak-Djamel Seriai

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Feichtinger, K., Meixner, K., Biffl, S., Rabiser, R. (2022). Evolution Support for Custom Variability Artifacts Using Feature Models: A Study in the Cyber-Physical Production Systems Domain. In: Perrouin, G., Moha, N., Seriai, AD. (eds) Reuse and Software Quality. ICSR 2022. Lecture Notes in Computer Science, vol 13297. Springer, Cham. https://doi.org/10.1007/978-3-031-08129-3_5

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  • DOI: https://doi.org/10.1007/978-3-031-08129-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08128-6

  • Online ISBN: 978-3-031-08129-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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