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Multi-Agent System Approach for Modeling and Supporting Software Crowdsourcing

  • Xinjun MaoEmail author
  • Fu Hou
  • Wei Wu
Chapter
Part of the Progress in IS book series (PROIS)

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 that provides some fundamental 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 prototype is developed and some scenarios are exemplified to illustrate our approach.

Notes

Acknowledgments

The authors gratefully acknowledge the financial support from Natural Science Foundation of China under granted number under Grant No. 61070034 and 61379051; Program for New Century Excellent Talents in University NCET-10-0898; and Open Fund SKLSDE-2012KF-0X from State Key Laboratory of Software Development Environment.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Computer Science and Technology, College of Computer ScienceNational University of Defense TechnologyChangshaChina
  2. 2.College of Computer ScienceNational University of Defense TechnologyChangshaChina

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