| Title: | modeling the number of active software users |
| Author: | Yang Da
; Liu Wenpei
; Cui Qiang
; Li Juan
; Yang Ye
; Wang Qing
|
| Source: | Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
|
| Conference Name: | 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011
|
| Conference Date: | September
|
| Issued Date: | 2011
|
| Conference Place: | Banff, AB, Canada
|
| Keyword: | Ecosystems
; Image quality
; Software engineering
|
| Indexed Type: | EI
|
| ISSN: | 1949-3770
|
| ISBN: | 9780769546049
|
| Department: | (1) Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing 100080 China
|
| Sponsorship: | Microsoft Research; Alberta Innovates; Siemens; University of Calgary; RIM
|
| Abstract: | 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. |
| English Abstract: | 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. |
| Language: | 英语
|
| Content Type: | 会议论文
|
| URI: | http://ir.iscas.ac.cn/handle/311060/16267
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
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.
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