Causal Impact for App Store Analysis

被引：7
|
作者：
Martin, William [1 ]
机构：
[1] UCL, London, England
来源：
2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C) | 2016年
关键词：
App Store Mining and Analysis; Causal Impact;
D O I：
10.1145/2889160.2891033
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
App developers naturally want to know which of their releases are successful and which are unsuccessful. Such information can help with release planning and requirements prioritisation and elicitation. To address this problem, I performed causal analysis on 52 weeks of popular app releases from Google Play and Windows Phone Store. The results reveal properties of successful releases in multiple app stores, and showcase causal analysis as a useful technique for developers seeking to know more about their software releases.
引用
收藏
页码：659 / 661
页数：3
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