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Title:
Analysis of the key factors for software quality in crowdsourcing development: An empirical study on TopCoder.com
Author: Li, Ke (1) ; Xiao, Junchao (1) ; Wang, Yongji (1) ; Wang, Qing (1)
Conference Name: 2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops and PhD Forum, IPDPSW 2013
Conference Date: May 20, 2013 - May 24, 2013
Issued Date: 2013
Conference Place: Boston, MA, United states
Publish Place: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
Indexed Type: EI
ISSN: 7303157
Department: (1) Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) University of Chinese Academy of Sciences, Beijing, China; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
Abstract: Crowdsourcing is a distributed problem-solving and production model. It takes advantage of the internet technology, helps enterprises save cost and improve efficiency. However, uncertain quality is a significant challenge for crowdsourcing. On the basis of the existing literatures, this paper proposes 23 software quality factors from two aspects: platform and project. By using multiple regression analysis on the data of one of the most successful software crowdsourcing platforms TopCoder.com, this paper analyzes the impact of the factors on software quality and identifies six key factors, including the average quality score of the platform, the number of contemporary projects, the length of component document, the number of registered developers, the maximum rating of submitted developers, and the design score. According to the result, this paper suggests four aspects for enterprises to improve software quality: choosing the prosperous period of platform to post a project, reducing the scale of projects, attracting more and higher skillful developers to participate, and improving software design score. © 2013 IEEE.
English Abstract: Crowdsourcing is a distributed problem-solving and production model. It takes advantage of the internet technology, helps enterprises save cost and improve efficiency. However, uncertain quality is a significant challenge for crowdsourcing. On the basis of the existing literatures, this paper proposes 23 software quality factors from two aspects: platform and project. By using multiple regression analysis on the data of one of the most successful software crowdsourcing platforms TopCoder.com, this paper analyzes the impact of the factors on software quality and identifies six key factors, including the average quality score of the platform, the number of contemporary projects, the length of component document, the number of registered developers, the maximum rating of submitted developers, and the design score. According to the result, this paper suggests four aspects for enterprises to improve software quality: choosing the prosperous period of platform to post a project, reducing the scale of projects, attracting more and higher skillful developers to participate, and improving software design score. © 2013 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16684
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Li, Ke ,Xiao, Junchao ,Wang, Yongji ,et al. Analysis of the key factors for software quality in crowdsourcing development: An empirical study on TopCoder.com[C]. 见:2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops and PhD Forum, IPDPSW 2013. Boston, MA, United states. May 20, 2013 - May 24, 2013.
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