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Developers' Responses to App Review Feedback - A Study of Communication Norms in App Development

机译:开发人员对应用程序审查反馈的回应 - 应用程序开发中的通信规范研究

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Norms are general expectations of behavior in societies. Huge amount of computer-mediated interaction data available in the social media domain provides an opportunity to extract and study communication norms, both to understand their prevalence and to make informed decisions about adopting them. While interactions in social media platforms such as Twitter and Facebook have been widely studied, only recently researchers have started examining app reviews provided by users and the responses provided by developers in the domain of app development. In this vein, a lot of attention has been devoted to study the nature of user reviews, however, little is known about developer responses to such reviews. Additionally, no other prior work has scrutinized the nature of communication norms in this domain. Towards addressing these gaps, this work pursues three objectives using a dataset comprising user reviews and developer responses from Google's top-20 apps used to track running with a total of 24,407 reviews and 2,668 responses. First, based on prior literature in computer-mediated interactions, the study identifies 12 norms in responses provided by developers in three categories (obligation norms, prohibition norms and domain-specific response norms). Second, it scrutinizes the awareness and adoption of these norms. Third, based on the results obtained, this study identifies the need for creating a response recommendation system that generates responses to user reviews either automatically, or with some help from the developers. The proposed response recommendation system is a normative system that will generate responses that abide by the norms identified in this work, and will also monitor potential norm violations (if the responses were to be modified by the developers). Development of such a system forms the focus of future work.
机译:规范是社会行为的一般性期望。社交媒体领域可用的大量计算机介导的互动数据提供了提取和研究通信规范的机会,以了解他们的普遍性,并提出关于采用它们的知情决策。虽然诸如推特和Facebook这样的社交媒体平台的互动被广泛研究,但最近的研究人员已经开始审查用户提供的应用程序评论以及应用程序开发领域的开发人员提供的响应。在这静脉中,很多人都致力于研究用户评论的性质,但是关于这些评论的开发人员答复很少。此外,没有其他事先工作已经审查了该域中的通信规范的性质。为了解决这些差距,这项工作涉及使用DataSet追究三个目标,该数据集包括来自谷歌的前20个应用程序的用户评论和开发人员响应,用于跟踪运行,共有24,407条评论和2,668个回复。首先,基于计算机介导的相互作用中的先前文献,该研究识别开发商提供的三类提供的12条规范(义务规范,禁止规范和域特定响应规范)。其次,它审查了这些规范的意识和采用。第三,根据所获得的结果,本研究确定了需要创建一个响应推荐系统,该系统会自动或从开发人员的一些帮助生成对用户审核的响应。拟议的响应推荐系统是一个规范系统,将产生遵守本工作中所确定的规范的响应,并将监控潜在的规范违规行为(如果开发商要修改答复)。这种系统的发展形成了未来工作的重点。

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