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Towards a DSL for AI Engineering Process Modeling

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Product-Focused Software Process Improvement (PROFES 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13709))

Abstract

Many modern software products embed AI components. As a result, their development requires multidisciplinary teams with diverse skill sets. Diversity may lead to communication issues or misapplication of best practices. Process models, which prescribe how software should be developed within an organization, can alleviate this problem. In this paper, we introduce a domain-specific language for modeling AI engineering processes. The DSL concepts stem from our analysis of scientific and gray literature that describes how teams are developing AI-based software. This DSL contributes a structured framework and a common ground for designing, enacting and automating AI engineering processes.

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Notes

  1. 1.

    http://hdl.handle.net/20.500.12004/1/C/PROFES/2022/422.

  2. 2.

    https://www.eclipse.org/sirius/sirius-web.html.

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Acknowledgements

This work has been partially funded by the Spanish government (PID2020-114615RB-I00/AEI/10.13039/501100011033, project LOCOSS) and the AIDOaRt project, which has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 101007350. The JU receives support from the European Union‘s Horizon 2020 research and innovation programme and Sweden, Austria, Czech Republic, Finland, France, Italy and Spain.

Author information

Authors and Affiliations

  1. Universitat Oberta de Catalunya, Barcelona, Spain

    Sergio Morales, Robert Clarisó & Jordi Cabot

  2. ICREA, Barcelona, Spain

    Jordi Cabot

Authors
  1. Sergio Morales
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  2. Robert Clarisó
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  3. Jordi Cabot
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Corresponding author

Correspondence to Sergio Morales .

Editor information

Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Davide Taibi

  2. Reutlingen University, Reutlingen, Germany

    Marco Kuhrmann

  3. University of Jyväskylä, Jyväskylä, Finland

    Tommi Mikkonen

  4. Leibniz University Hannover, Hannover, Germany

    Jil Klünder

  5. University of Jyväskylä, Jyväskylä, Finland

    Pekka Abrahamsson

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Morales, S., Clarisó, R., Cabot, J. (2022). Towards a DSL for AI Engineering Process Modeling. In: Taibi, D., Kuhrmann, M., Mikkonen, T., Klünder, J., Abrahamsson, P. (eds) Product-Focused Software Process Improvement. PROFES 2022. Lecture Notes in Computer Science, vol 13709. Springer, Cham. https://doi.org/10.1007/978-3-031-21388-5_4

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  • DOI: https://doi.org/10.1007/978-3-031-21388-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21387-8

  • Online ISBN: 978-3-031-21388-5

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