Software economies

  • Authors:

  • David F. Bacon;Eric Bokelberg;Yiling Chen;Ian A. Kash;David C. Parkes;Malvika Rao;Manu Sridharan

  • Affiliations:

  • IBM T. J. Watson Research Center, Yorktown Heights, NY, USA;IBM Global Business Services, Essex Junction, VT, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;Harvard University, Cambridge, MA, USA;IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

  • Venue:
  • Proceedings of the FSE/SDP workshop on Future of software engineering research
  • Year:
  • 2010

  • Work as a service

    ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing

  • Predicting your own effort

    Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

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Abstract

Software construction has typically drawn on engineering metaphors like building bridges or cathedrals, which emphasize architecture, specification, central planning, and determinism. Approaches to correctness have drawn on metaphors from mathematics, like formal proofs. However, these approaches have failed to scale to modern software systems, and the problem keeps getting worse. We believe that the time has come to completely re-imagine the creation of complex software, drawing on systems in which behavior is decentralized, self-regulating, non-deterministic, and emergent---like economies. In this paper we describe our vision for, and prelimary work on, the creation of software economies for both open systems and internal corporate development, and our plans to deploy these ideas within one of the largest developer communities at IBM.