Causal impact analysis for app releases in google play

William J. Martin, Federica Sarro, M. Harman
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引用次数: 77

Abstract

App developers would like to understand the impact of their own and their competitors’ software releases. To address this we introduce Causal Impact Release Analysis for app stores, and our tool, CIRA, that implements this analysis. We mined 38,858 popular Google Play apps, over a period of 12 months. For these apps, we identified 26,339 releases for which there was adequate prior and posterior time series data to facilitate causal impact analysis. We found that 33% of these releases caused a statistically significant change in user ratings. We use our approach to reveal important characteristics that distinguish causal significance in Google Play. To explore the actionability of causal impact analysis, we elicited the opinions of app developers: 56 companies responded, 78% concurred with the causal assessment, of which 33% claimed that their company would consider changing its app release strategy as a result of our findings.
google play应用发布的因果影响分析
应用程序开发人员希望了解他们自己和竞争对手的软件发布的影响。为了解决这个问题,我们为应用商店引入了因果影响发布分析,我们的工具CIRA实现了这一分析。我们在12个月的时间里挖掘了38858款受欢迎的Google Play应用。对于这些应用,我们确定了26,339个版本,其中有足够的先验和后验时间序列数据来促进因果影响分析。我们发现其中33%的发行在用户评级上产生了显著的变化。我们用自己的方法揭示了区分Google Play因果关系的重要特征。为了探讨因果影响分析的可操作性,我们征求了应用开发者的意见:56家公司回应,78%同意因果评估,其中33%声称他们的公司会考虑根据我们的发现改变其应用发布策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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