FAVe: Visualizing User Feedback for Software Evolution

Emitzá Guzmán, Padma Bhuvanagiri, B. Brügge
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引用次数: 21

Abstract

App users can submit feedback about downloaded apps by writing review comments and giving star ratings directly in the distribution platforms. Previous research has shown that this type of feedback contains important information for software evolution. However, in the case of the most popular apps, the amount of received feedback and its unstructured nature can produce difficulties in its analysis. We present an interactive user feedback visualization which displays app reviews from four different points of view: general, review based, feature based and topic-feature based. We conducted a study which visualized 2009 reviews from the Dropbox app available in the App Store. Participants considered the approach useful for software evolution tasks as they found it could aid developers and analysts get an overview of the most and least popular app features, and to prioritize their work. While using different strategies to find relevant information during the study, most participants came to the same conclusions regarding the user reviews and assigned tasks.
FAVe:可视化用户反馈的软件发展
应用用户可以直接在发行平台上通过写评论和打星的方式提交对下载应用的反馈。先前的研究表明,这种类型的反馈包含了软件进化的重要信息。然而,就最受欢迎的应用而言,收到的反馈数量及其非结构化的性质可能会给分析带来困难。我们提出了一个交互式用户反馈可视化,从四个不同的角度显示应用评论:一般,基于评论,基于功能和基于主题功能。我们进行了一项研究,将2009年app Store中Dropbox应用的评论可视化。参与者认为这种方法对软件进化任务很有用,因为他们发现它可以帮助开发人员和分析人员对最受欢迎和最不受欢迎的应用程序功能进行概述,并优先考虑他们的工作。虽然在研究过程中使用不同的策略来查找相关信息,但大多数参与者对于用户评论和分配的任务得出了相同的结论。
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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