应用商店的挖掘和分析

A. Al-Subaihin, A. Finkelstein, M. Harman, Yue Jia, William J. Martin, Federica Sarro, Yuanyuan Zhang
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引用次数: 22

摘要

应用商店不仅颠覆了传统的软件部署实践,还为科学研究提供了相当大的潜在好处。软件工程研究人员从未有过如此丰富、广泛和多样的软件产品信息来源。有一些源代码可用性,支持科学研究,就像使用更传统的开源系统一样。然而,应用商店的重要和不同之处在于其他可用数据。研究人员可以访问用户的看法,表达在评级和评论数据。此外,应用受欢迎程度也会提供相关信息(游戏邦注:通常以下载量或下载量排名来表示)。对于更传统的应用程序,这些数据在商业上过于敏感,不适合公开发布。定价信息也是部分可用的,尽管在撰写本文时,这些信息还隐藏在更不透明的应用内部购买层之下。本次演讲将回顾应用商店分析这一新兴领域的研究趋势,展示UCL应用分析小组(UCLappA)和其他人的研究结果,并为未来的工作提供一些方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
App store mining and analysis
App stores are not merely disrupting traditional software deployment practice, but also offer considerable potential benefit to scientific research. Software engineering researchers have never had available, a more rich, wide and varied source of information about software products. There is some source code availability, supporting scientific investigation as it does with more traditional open source systems. However, what is important and different about app stores, is the other data available. Researchers can access user perceptions, expressed in rating and review data. Information is also available on app popularity (typically expressed as the number or rank of downloads). For more traditional applications, this data would simply be too commercially sensitive for public release. Pricing information is also partially available, though at the time of writing, this is sadly submerging beneath a more opaque layer of in-app purchasing. This talk will review research trends in the nascent field of App Store Analysis, presenting results from the UCL app Analysis Group (UCLappA) and others, and will give some directions for future work.
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