modeling the number of active software users

ISCAS OpenIR

	modeling the number of active software users
	Yang Da; Liu Wenpei; Cui Qiang; Li Juan; Yang Ye; Wang Qing
	2011
会议名称	2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
会议录名称	Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
页码	376-379
会议日期	September
会议地点	Banff, AB, Canada
收录类别	EI
ISSN	1949-3770
ISBN	9780769546049
部门归属	(1) Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing 100080 China
摘要	More and more software applications are developed within a software ecosystem (SECO), such as the Facebook ecosystem and the iPhone AppStore. A core asset of a software ecosystem is its users, and the behavior of the users strongly affects the decisions of software vendors. The number of active users reflects user satisfaction and quality of the applications in a SECO. However, we can hardly find any literature about the number of active software users. Because software users are one of the most important assets of a software business, this information is very sensitive. In this paper, we analyzed the traces of software application users within a large scale software ecosystem with millions of active users. We identified useful patterns of user behavior, and proposed models that help to understand the number of active application users. The model we proposed better predicts the number of active users than just looking at the traditional retention rate. It also provides a fast way to monitor user satisfaction of online software applications. We have therefore provided an alternative way for SECO platform vendors to identify rising or falling applications, and for third party application vendors to identify risks and opportunity of their products. © 2011 IEEE.; More and more software applications are developed within a software ecosystem (SECO), such as the Facebook ecosystem and the iPhone AppStore. A core asset of a software ecosystem is its users, and the behavior of the users strongly affects the decisions of software vendors. The number of active users reflects user satisfaction and quality of the applications in a SECO. However, we can hardly find any literature about the number of active software users. Because software users are one of the most important assets of a software business, this information is very sensitive. In this paper, we analyzed the traces of software application users within a large scale software ecosystem with millions of active users. We identified useful patterns of user behavior, and proposed models that help to understand the number of active application users. The model we proposed better predicts the number of active users than just looking at the traditional retention rate. It also provides a fast way to monitor user satisfaction of online software applications. We have therefore provided an alternative way for SECO platform vendors to identify rising or falling applications, and for third party application vendors to identify risks and opportunity of their products. © 2011 IEEE.
关键词	Ecosystems Image Quality Software Engineering
主办者	Microsoft Research; Alberta Innovates; Siemens; University of Calgary; RIM
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16267
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Yang Da,Liu Wenpei,Cui Qiang,et al. modeling the number of active software users[C],2011:376-379.