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The SCEL Language: Design, Implementation, Verification

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Software Engineering for Collective Autonomic Systems

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8998))

Abstract

SCEL (Service Component Ensemble Language) is a new language specifically designed to rigorously model and program autonomic components and their interaction, while supporting formal reasoning on their behaviors. SCEL brings together various programming abstractions that allow one to directly represent aggregations, behaviors and knowledge according to specific policies. It also naturally supports programming interaction, self-awareness, context-awareness, and adaptation. The solid semantic grounds of the language is exploited for developing logics, tools and methodologies for formal reasoning on system behavior to establish qualitative and quantitative properties of both the individual components and the overall systems.

This research was supported by the European project IP 257414 (ASCENS) and by the Italian PRIN 2010LHT4KM CINA.

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Authors and Affiliations

  1. IMT Institute for Advanced Studies Lucca, Italy

    Rocco De Nicola, Alberto Lluch Lafuente, Andrea Morichetta, Francesco Tiezzi & Andrea Vandin

  2. Istituto di Scienza e Tecnologie dell’Informazione ‘A. Faedo’, CNR, Italy

    Diego Latella & Mieke Massink

  3. DTU Compute, The Technical University of Denmark, Denmark

    Alberto Lluch Lafuente

  4. Università degli Studi di Firenze, Italy

    Michele Loreti, Andrea Margheri & Rosario Pugliese

  5. University of Southampton, UK

    Andrea Vandin

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  1. Rocco De Nicola
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  1. , Institut für Informatik, Ludwig-Maximilians-Universität, Oettingenstraße 67, 80538, München, Germany

    Martin Wirsing

  2. Institut für Informatik, Ludwig-Maximilians-Universität, Oettingenstraße 67, 80538, München, Germany

    Matthias Hölzl , Nora Koch  & Philip Mayer ,  & 

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De Nicola, R. et al. (2015). The SCEL Language: Design, Implementation, Verification. In: Wirsing, M., Hölzl, M., Koch, N., Mayer, P. (eds) Software Engineering for Collective Autonomic Systems. Lecture Notes in Computer Science, vol 8998. Springer, Cham. https://doi.org/10.1007/978-3-319-16310-9_1

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