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Rigorous Engineering of Collective Adaptive Systems Introduction to the 3rd Track Edition

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Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles (ISoLA 2020)

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Abstract

A collective adaptive system consists of collaborating entities that are able to adapt at runtime to dynamically changing, open-ended environments and to evolving requirements. Rigorous engineering requires appropriate methods and tools that help guarantee that a collective adaptive system lives up to its intended purpose. This note gives an introduction to the track “Rigorous Engineering of Collective Adaptive Systems” and its 21 scientific contributions.

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Acknowledgements

As organisers of the track, we would like to thank all authors for their valuable contributions, all reviewers for their careful evaluations and constructive comments. We are also grateful to the ISOLA chairs Tiziana Margaria and Bernhard Steffen for giving us the opportunity to organise this track and to them and Springer–Verlag for providing us with the very helpful Equinocs conference system.

Author information

Authors and Affiliations

  1. Ludwig-Maximilians-Universität München, Munich, Germany

    Martin Wirsing

  2. IMT School for Advanced Studies Lucca, Lucca, Italy

    Rocco De Nicola

  3. TU Berlin and FZI Forschungszentrum Informatik Berlin, Berlin, Germany

    Stefan Jähnichen

Authors
  1. Martin Wirsing
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  2. Rocco De Nicola
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  3. Stefan Jähnichen
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Corresponding author

Correspondence to Martin Wirsing .

Editor information

Editors and Affiliations

  1. University of Limerick and Lero, Limerick, Ireland

    Tiziana Margaria

  2. TU Dortmund, Dortmund, Germany

    Bernhard Steffen

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Wirsing, M., De Nicola, R., Jähnichen, S. (2020). Rigorous Engineering of Collective Adaptive Systems Introduction to the 3rd Track Edition. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles. ISoLA 2020. Lecture Notes in Computer Science(), vol 12477. Springer, Cham. https://doi.org/10.1007/978-3-030-61470-6_10

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