modeling the number of active software users

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	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
会议日期	September
会议地点	Banff, AB, Canada
关键词	Ecosystems Image quality Software engineering
页码	376-379
中文摘要	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.
英文摘要	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.
收录类别	EI
会议主办者	Microsoft Research; Alberta Innovates; Siemens; University of Calgary; RIM
会议录	Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
语种	英语
ISSN号	1949-3770
ISBN号	9780769546049
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16267]
专题	软件研究所_软件所图书馆_会议论文
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]. 见:2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011. Banff, AB, Canada. September.