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International Journal of Software Engineering for Smart Device

Volume 4, No. 2, 2017, pp 25-30
http://dx.doi.org/10.21742/ijsesd.2017.4.2.05

Abstract



A Study on the Performance of Crowdsourcing Software Development Applying Collective Intelligence Genome Framework



    Tae Eun Kim1 , Young Moon Lee2 , Jae Yoon Cheon3 , Jong Bae Kim4 and Gwang Yong Gim5
    1,2,3Dept. IT Policy Management, SoongsilUniv, 369 Sangdo-Ro, Dongjak-Gu,Seoul, 06978, Korea
    4Correspondent Author, 06978 Dept. Graduate School of Software , Soongsil Univ., Sangdo-dong, Dongjak-Gu, Seoul, Korea
    5Correspondent Author, Professor, 06978 Dept. Business Administration, Soongsil Univ., Sangdo-dong, Dongjak-Gu, Seoul, Korea

    Abstract

    This study is to empirically verify the causal relationship weighed on software development performance, when developing software using crowdsourcing, by participation reward factor provided by crowdsourcing ordering party, the new outputs made by crowdsourcing and decision makings. The results of crowdsourcing software development from the requester’s of crowdsourcing viewpoint could be summarized as follows. First, from requester’s of crowdsourcing viewpoint, cooperative creation and cooperative decision making with participants who were offered monetary reward were rejected and the hypothesis which cooperative creation and decision making with participants who have a favor was adopted. The hypothesis that cooperative creation by honorary reward was rejected but cooperative decision making was adopted. Second, the every hypothesis about effect on result of software development performance by cooperative creation and decision making was adopted, the results were same as the results from related studies.


 

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