Retrieving Diverse Opinions from App Reviews

2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2015-11-09 DOI:10.1109/ESEM.2015.7321214

Emitzá Guzmán, Omar Aly, B. Brügge

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引用次数: 37

Abstract

Context: Users can have conflicting opinions and different experiences when using software and user reviews serve as a channel in which users can document their opinions and experiences. To develop and evolve software that is usable and relevant for a diverse group of users, different opinions and experiences need to be taken into account. Goal: In this paper we present DIVERSE, a feature and sentiment centric retrieval approach which automatically provides developers with a diverse sample of user reviews that is representative of the different opinions and experiences mentioned in the whole set of reviews. Results: We evaluated the diversity retrieval performance of our approach on reviews from seven apps from two different app stores. We compared the reviews retrieved by DIVERSE with a feature-based retrieval approach and found that on average DIVERSE outperforms the baseline approach. Additionally, a controlled experiment revealed that DIVERSE can help develop- ers save time when analyzing user reviews and was considered useful for detecting conflicting opinions and software evolution. Conclusions: DIVERSE can therefore help developers collect a comprehensive set of reviews and aid in the detection of conflicting opinions.

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从应用评论中获取不同意见

背景:用户在使用软件时可能会有相互冲突的意见和不同的体验，用户评论是用户记录其意见和体验的渠道。为了开发和改进可用于不同用户组的软件，需要考虑到不同的意见和经验。目标:在本文中，我们提出了diversity，这是一种以特征和情感为中心的检索方法，它可以自动为开发人员提供不同的用户评论样本，这些样本代表了整个评论集中提到的不同观点和经验。结果:我们对来自两个不同应用商店的七个应用的评论评估了我们的方法的多样性检索性能。我们比较了用DIVERSE和基于特征的检索方法检索的评论，发现平均而言，DIVERSE优于基线方法。此外，一项对照实验表明，DIVERSE可以帮助开发人员在分析用户评论时节省时间，并且被认为对检测冲突意见和软件进化很有用。结论:因此，DIVERSE可以帮助开发人员收集一组全面的评论，并帮助发现相互冲突的意见。

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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2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

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