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PosoMAS: An Extensible, Modular SE Process for Open Self-organising Systems

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PRIMA 2014: Principles and Practice of Multi-Agent Systems (PRIMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8861))

Abstract

This paper introduces PosoMAS, the Process for open, self-organising Multi-Agent Systems. The process is composed of a number of practices, reusable and customisable building parts, and integrated into the lifecycle of the Open Unified Process to yield an iterative, incremental software engineering process tailored to open self-organising systems. The individual practices are introduced and their interplay described. We evaluate PosoMAS in two case studies and provide a qualitative comparison with existing AOSE processes.

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Author information

Authors and Affiliations

  1. Institute for Software & Systems Engineering, Augsburg University, Germany

    Jan-Philipp Steghöfer, Hella Seebach, Benedikt Eberhardinger & Wolfgang Reif

Authors
  1. Jan-Philipp Steghöfer
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  2. Hella Seebach
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  3. Benedikt Eberhardinger
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  4. Wolfgang Reif
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, University of Wollongong, Northfields Avenue, 2522, Wollongong, NSW, Australia

    Hoa Khanh Dam

  2. Imperial College, SW7 2BT, London, UK

    Jeremy Pitt

  3. University of Electronic Science and Technology of China, 610051, Chengdu, Sichuan, China

    Yang Xu

  4. NICTA Queensland Research Laboratory, GPO Box 2434, 4001, Brisbane, QLD, Australia

    Guido Governatori

  5. Nagoya Institute of Technology, Gokiso-cho, 466-8555, Showa-ku, Nagoya, Japan

    Takayuki Ito

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Steghöfer, JP., Seebach, H., Eberhardinger, B., Reif, W. (2014). PosoMAS: An Extensible, Modular SE Process for Open Self-organising Systems. In: Dam, H.K., Pitt, J., Xu, Y., Governatori, G., Ito, T. (eds) PRIMA 2014: Principles and Practice of Multi-Agent Systems. PRIMA 2014. Lecture Notes in Computer Science(), vol 8861. Springer, Cham. https://doi.org/10.1007/978-3-319-13191-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-13191-7_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13190-0

  • Online ISBN: 978-3-319-13191-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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