Multi-Agent System Approach for Modeling and Supporting Software Crowdsourcing

Xinjun Mao (), Fu Hou () and Wei Wu ()
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Xinjun Mao: National University of Defense Technology
Fu Hou: National University of Defense Technology
Wei Wu: National University of Defense Technology

A chapter in Crowdsourcing, 2015, pp 73-89 from Springer

Abstract: 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.

Keywords: Software Crowdsourcing; TopCoder; Auto Service; Crowdsourcing Task; Crowdsourcing Process (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-662-47011-4_5

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DOI: 10.1007/978-3-662-47011-4_5

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