an empirical study on identifying core developers using network analysis

ISCAS OpenIR

	an empirical study on identifying core developers using network analysis
	Zhang Wen; Yang Ye; Wang Qing
	2012
会议名称	2nd International Workshop on Evidential Assessment of Software Technologies, EAST 2012
会议录名称	EAST'12 - Proceedings of the 2nd International Workshop on Evidential Assessment of Software Technologies
页码	43-48
会议日期	September 22, 2012 - September 22, 2012
会议地点	Lund, Sweden
收录类别	EI
ISBN	9781450315098
部门归属	(1) Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing 100190 China
摘要	This paper conducts an empirical study of ArgoUML project to identify its core developers of each release. Unlike most previous studies regarding OSS email archives as a whole social network,our focus is on the quantitative analysis of a series of social networks produced in the process of OSS evolution. We attempt two types of networks as unipartite network and bipartite network. With unipartite network, we construct the network using developer cooperation information. With bipartite network, we construct the network using both developer information and email topic information. Experimental results demonstrate that bipartite network has produced better results in core developer identification than traditional unipartite network. Moreover, degree is more effective in identifying core developers from networks than other measures. We present the explanation for the experimental outcome. Copyright 2012 ACM.; This paper conducts an empirical study of ArgoUML project to identify its core developers of each release. Unlike most previous studies regarding OSS email archives as a whole social network,our focus is on the quantitative analysis of a series of social networks produced in the process of OSS evolution. We attempt two types of networks as unipartite network and bipartite network. With unipartite network, we construct the network using developer cooperation information. With bipartite network, we construct the network using both developer information and email topic information. Experimental results demonstrate that bipartite network has produced better results in core developer identification than traditional unipartite network. Moreover, degree is more effective in identifying core developers from networks than other measures. We present the explanation for the experimental outcome. Copyright 2012 ACM.
关键词	Social Networking (Online)
主办者	ACM Special Interest Group on Software Engineering (SIGSOFT); IEEE Computer Society (CS)
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15893
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhang Wen,Yang Ye,Wang Qing. an empirical study on identifying core developers using network analysis[C],2012:43-48.