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- W803911640 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." @default.
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- W803911640 date "2015-01-01" @default.
- W803911640 modified "2023-10-16" @default.
- W803911640 title "Multi-Agent System Approach for Modeling and Supporting Software Crowdsourcing" @default.
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- W803911640 doi "https://doi.org/10.1007/978-3-662-47011-4_5" @default.
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