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Runtime Verification and Refutation for Biological Systems

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Runtime Verification (RV 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8174))

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Abstract

Advanced computational models are transforming the way research is done in biology, by providing quantitative means to assess the validity of theories and hypotheses and allowing predictive capabilities, raising an urgent need to be able to systematically and efficiently analyze runtime properties of models. In this tutorial I describe key biological applications, modeling formalisms, property specification languages, and computational tools utilized in this domain, survey the techniques and research from the formal verification, machine learning and simulation communities that are currently being used, and outline opportunities for the runtime verification community to contribute new scalable methods.

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References

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Author information

Authors and Affiliations

  1. Microsoft Research, Cambridge, UK

    Hillel Kugler

Authors
  1. Hillel Kugler
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Editor information

Editors and Affiliations

  1. Inria Rennes, Campus de Beaulieu, 263 Avenue Général Leclerc, 35042, Rennes, France

    Axel Legay

  2. VERIMAG Centre Équation, Université Joseph Fourier, Avenue de Vignate 2, 38618, Gières, France

    Saddek Bensalem

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© 2013 Springer-Verlag Berlin Heidelberg

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Kugler, H. (2013). Runtime Verification and Refutation for Biological Systems. In: Legay, A., Bensalem, S. (eds) Runtime Verification. RV 2013. Lecture Notes in Computer Science, vol 8174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40787-1_28

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  • DOI: https://doi.org/10.1007/978-3-642-40787-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40786-4

  • Online ISBN: 978-3-642-40787-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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