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Automotive Data Management SPICE Assessment – Comparison of Process Assessment Models

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Systems, Software and Services Process Improvement (EuroSPI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1890))

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Abstract

Many of the current innovations in the automotive environment revolve around autonomous driving, digitalization, connectivity, AI, and new services in the context of mobility. These innovations are based on the collection and use of data. However, the handling of data often plays a subordinate, barely visible role in today’s development and operations processes, with corresponding risks. ASPICE as an industry-standard guideline for evaluating system and software development processes helps automotive suppliers incorporate best practices to identify defects earlier in development and ensure that OEM requirements are met. With the purpose of the creation of a process model for data management that is aligned with Automotive SPICE® 3.1 and other established standards in the industry, a draft version of the Data Management SPICE was initiated by the intacs group. In this work, we are going to provide improvement potential on the content of the pilot draft of Data Management SPICE assessment, based on our industrial and academic experience in the field of Automotive and Data Management. A first comparison between Camelot Data Management Strategy Assessment and Data Management SPICE Assessment is given. Based on expert’s knowledge proposals to improve the quality and the content areas of the Data Management SPICE Assessment before issuing the released version of the standard are shown.

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Acknowledgements

This work was supported by experts in the field of data management from Camelot Management Consultants AG. We would like to thank Marcel Leclaire, Markus Weinerth and Helena Betz for supporting the improvement process with their knowledge. In addition, we thank Samer Sameh from Valeo for his cooperative work and introduction to the Data Management SPICE assessment.

Author information

Authors and Affiliations

  1. Univ. Grenoble Alpes, CNRS, Grenoble INP, G-SCOP, 38000, Grenoble, France

    Lara Pörtner

  2. CAMELOT Management Consultants AG, Gabrielenstraße 9, 80636, Munich, Germany

    Lara Pörtner, Andreas Riel & Marcel Leclaire

  3. Valeo, Smart Villages Company, F22, KM 28, Al Giza Desert, 3650105, Giza Governorate, Egypt

    Samer Sameh Makkar

Authors
  1. Lara Pörtner
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  2. Andreas Riel
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  3. Marcel Leclaire
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  4. Samer Sameh Makkar
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Corresponding author

Correspondence to Lara Pörtner .

Editor information

Editors and Affiliations

  1. Gazi University, Ankara, Türkiye

    Murat Yilmaz

  2. Dublin City University, Dublin, Ireland

    Paul Clarke

  3. Grenoble Alpes University, Grenoble, France

    Andreas Riel

  4. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

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Pörtner, L., Riel, A., Leclaire, M., Makkar, S.S. (2023). Automotive Data Management SPICE Assessment – Comparison of Process Assessment Models. In: Yilmaz, M., Clarke, P., Riel, A., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2023. Communications in Computer and Information Science, vol 1890. Springer, Cham. https://doi.org/10.1007/978-3-031-42307-9_16

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  • DOI: https://doi.org/10.1007/978-3-031-42307-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42306-2

  • Online ISBN: 978-3-031-42307-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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