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O-MaSE: An Extensible Methodology for Multi-agent Systems

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Agent-Oriented Software Engineering

Abstract

As the complexity of software systems continues to grow, the multi-agent systems approach has been proposed as an approach to handling this complexity. A key factor to the use of multi-agent systems in real systems is the existence of industrial strength development methodologies. The Organization-based Multi-agent Software Engineering (O-MaSE) methodology was created in response to this realization. O-MaSE integrates a set of concrete technologies aimed at making multi-agent technology available to industry and facilitating widespread acceptance. Specifically, O-MaSE was created as a customizable methodology that can be adapted and extended for a wide variety of uses.

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Notes

  1. 1.

    In this chapter, the terms method and methodology are used synonymously with process model while process is used to denote an instance of a process model that is enacted to develop a specific system.

  2. 2.

    http://agentTool.cis.ksu.edu/

  3. 3.

    SPEM 2.0 defines task definitions, role definitions, and work product definitions as method content with task uses, role uses, and work product uses as instances of those methods. This paper refers to both forms as tasks, roles, or work products.

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Acknowledgments

This work was supported by grants from the US National Science Foundation and the US Air Force Office of Scientific Research.

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Authors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Scott A. DeLoach

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  1. Scott A. DeLoach
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Correspondence to Scott A. DeLoach .

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Editors and Affiliations

  1. IBM Haifa Research Laboratory, Haifa, Israel

    Onn Shehory

  2. Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Arnon Sturm

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DeLoach, S.A. (2014). O-MaSE: An Extensible Methodology for Multi-agent Systems. In: Shehory, O., Sturm, A. (eds) Agent-Oriented Software Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54432-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-54432-3_9

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