Developers always focus on delivering high-quality updates to improve, or maintain the rating of their apps. Prior work has studied user reviews by analyzing all reviews of an app. However, this app-level analysis misses the point that users post reviews to provide their feedback on a certain update. For example, two bad updates of an app with a history of good updates would not be spotted using app-level analysis. In this paper, we examine reviews at the update-level to better understand how users perceive bad updates. We focus our study on the top 250 bad updates (i.e., updates with the highest increase in the percentage of negative reviews relative to the prior updates of the app) from 26,726 updates of 2,526 top free-to-download apps in the Google Play Store. We find that feature removal and UI issues have the highest increase in the percentage of negative reviews. Bad updates with crashes and functional issues are the most likely to be fixed by a later update. However, developers often do not mention these fixes in the release notes. Our work demonstrates the necessity of an update-level analysis of reviews to capture the feelings of an app's user-base about a particular update.

中文翻译：

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研究 Google Play 商店中热门免费下载应用程序的不良更新

开发人员始终专注于提供高质量的更新，以提高或维持其应用程序的评级。之前的工作通过分析应用程序的所有评论来研究用户评论。然而，这种应用级分析忽略了用户发表评论以提供他们对某个更新的反馈这一点。例如，使用应用程序级分析不会发现具有良好更新历史的应用程序的两个错误更新。在本文中，我们检查更新级别的评论，以更好地了解用户如何感知不良更新。我们将研究重点放在 Google Play 商店中 2,526 个顶级免费下载应用程序的 26,726 个更新中的前 250 个不良更新（即，相对于应用程序的先前更新，负面评论百分比增幅最大的更新） . 我们发现功能删除和 UI 问题的负面评论百分比增幅最大。带有崩溃和功能问题的错误更新最有可能在以后的更新中得到修复。但是，开发人员通常不会在发行说明中提及这些修复。我们的工作证明了对评论进行更新级别分析的必要性，以捕捉应用程序用户群对特定更新的感受。