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Organization-Theoretic Perspective for Simulation Modeling of Agile Software Processes

  • Levent Yilmaz
  • Jared Phillips
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3966)

Abstract

Software development is a team effort that requires cooperation among individuals via task allocation, coordination of actions, and if necessary avoidance and/or management of conflicts among members of the organization. This perspective contrasts with the production focused view of software development. That is, interaction becomes the central activity, not a side-effect of a method’s prescription. Understanding the principles and components of organizational behavior for inclusion in software process models improves the level of fidelity and credibility of existing process simulations. Furthermore, there are strong connections between the neo-information processing view of organizations and agile software development. This paper introduces the conceptual basis for an agent-based simulation modeling test-bed, Team-RUP, which is based on an organization-theoretic perspective for simulation modeling of agile software processes.

Keywords

Task Allocation Rational Unify Design Manager Agile Software Development Team Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Silvia, A.T., Juristo, N.: Software Process Modeling (page xix). Springer Science and Business Medias Inc. (2005)Google Scholar
  2. 2.
    Hofstede, G.: Identifying Organizational Subcultures: An Empirical Approach. Journal of Management Studies 35, 32–49 (1998)CrossRefGoogle Scholar
  3. 3.
    Cabrera, A., Cabrera, E.F., Barajas, S.: The key role of organizational culture in a multi-system view of technology-driven change. International Journal of Information Management 21, 245–261 (2001)CrossRefGoogle Scholar
  4. 4.
    Boehm, B.W., Abts, C., Brown, A.W., Chulani, S., Clark, B.K., Horowitz, E., Madachy, R., Reifer, D., Steece, B.: Software Cost Estimation with Cocomo II. Prentice Hall PTR, Upper Saddle River, New Jersey (2000)Google Scholar
  5. 5.
    Scott, W.R.: Organizations: Rational, Natural, and Open Systems, 3rd edn. Prentice Hall, Englewood-Cliffs (1992)Google Scholar
  6. 6.
    Carley, M.K., Gasser, L.: Computational Organization Theory. In: Weiss, G. (ed.) Multi-Agent Systems: A Modern Approach to Distributed Artificial Intelligence, The MIT Press, Cambridge (1999)Google Scholar
  7. 7.
    Constantine, L.: Work Organization: Paradigms for Project Management and Organization. Communications of the ACM 36(10), 35–43 (1993)CrossRefGoogle Scholar
  8. 8.
    Armour, G.P.: The Laws of Software Process: A New Model for the Production and Management of Software. Auerbach Publications (2004)Google Scholar
  9. 9.
    Dyba, T. (2000): Improvisation in Small Software Organizations. IEEE Software, 82–87 (September/October 2000)Google Scholar
  10. 10.
    Krutchen, P.: The Rational Unified Process: An Introduction. Addison Wesley Longman, Reading (1999)Google Scholar
  11. 11.
    Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison Wesley Longman Inc., New York (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Levent Yilmaz
    • 1
  • Jared Phillips
    • 1
  1. 1.M&SNet: Auburn Modeling and Simulation Group, Computer Science and Software EngineeringAuburn UniversityAuburnUSA

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