IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-662-47011-4_5.html
   My bibliography  Save this book chapter

Multi-Agent System Approach for Modeling and Supporting Software Crowdsourcing

In: Crowdsourcing

Author

Listed:
  • Xinjun Mao

    (National University of Defense Technology)

  • Fu Hou

    (National University of Defense Technology)

  • Wei Wu

    (National University of Defense Technology)

Abstract

The advent and successful practices of software crowdsourcing needs to investigate its in-depth essence and seek effective technologies to support its activities and satisfy increasing requirements. We highlight crowdsourcing participants consist of a multi-agent system and software crowdsourcing is a multi-agent problem-solving process. This paper discusses the characteristics and challenges of software crowdsourcing in contrast to traditional software development, and present a general analysis framework based on multi-agent system to examine the organization and behaviours of software crowdsourcing. Several software crowdsourcing models performed on typical platforms like Topcode, uTest are established and their organization and coordination are discussed. We have developed a service-based multi-agent system platform called AutoService AutoService that provides some fundamentalAutoService platform capabilities like autonomy, monitoring, flexible interaction and organization, and can serve as an infrastructure to support software crowdsourcing models and tackle its challenges. A software crowdsourcing prototypePrototype is developed and some scenarios are exemplified to illustrate our approach.

Suggested Citation

  • Xinjun Mao & Fu Hou & Wei Wu, 2015. "Multi-Agent System Approach for Modeling and Supporting Software Crowdsourcing," Progress in IS, in: Wei Li & Michael N. Huhns & Wei-Tek Tsai & Wenjun Wu (ed.), Crowdsourcing, edition 127, pages 73-89, Springer.
    • Handle: RePEc:spr:prochp:978-3-662-47011-4_5
    DOI: 10.1007/978-3-662-47011-4_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prochp:978-3-662-47011-4_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.