Analysis of the key factors for software quality in crowdsourcing development: An empirical study on TopCoder.com

ISCAS OpenIR

	Analysis of the key factors for software quality in crowdsourcing development: An empirical study on TopCoder.com
	Li, Ke (1); Xiao, Junchao (1); Wang, Yongji (1); Wang, Qing (1)
	2013
会议名称	2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops and PhD Forum, IPDPSW 2013
页码	812-817
会议日期	May 20, 2013 - May 24, 2013
会议地点	Boston, MA, United states
收录类别	EI
出版地	IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
ISSN	7303157
部门归属	(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
摘要	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.; 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.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16684
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	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]. IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2013:812-817.