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The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems | SpringerLink
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The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems

  • Chapter
Software Engineering for Collective Autonomic Systems

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

Abstract

Collective autonomic systems are adaptive, open-ended, highly parallel, interactive and distributed software systems. Their key features are so-called self-* properties, such as self-awareness, self-adaptation, self-expression, self-healing and self-management. We propose a software development life cycle that helps developers to engineer adaptive behavior and to address the issues posed by the diversity of self-* properties. The life cycle is characterized by three feedback loops, i.e. based on verification at design time, based on monitoring and awareness in the runtime, and the feedback provided by runtime data to the design phases. We illustrate how the life cycle can be instantiated using specific languages, methods and tools developed within the ASCENS project. In addition, a pattern catalog for the development of collective autonomic systems is presented to ease the engineering process.

This work has been sponsored by the EU project ASCENS IP 257414 (FP7).

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Authors and Affiliations

  1. Ludwig-Maximilians-Universität München, Germany

    Matthias Hölzl, Nora Koch & Martin Wirsing

  2. University of Modena and Reggio Emilia, Italy

    Mariachiara Puviani & Franco Zambonelli

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  1. Matthias Hölzl
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  2. Nora Koch
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  3. Mariachiara Puviani
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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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Hölzl, M., Koch, N., Puviani, M., Wirsing, M., Zambonelli, F. (2015). The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems. 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_9

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