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Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools

Journal

EXPERT SYSTEMS WITH APPLICATIONS
Volume 113, Issue -, Pages 186-199

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2018.05.037

Keywords

Mobile application review; App review; App review mining, app development; Intelligent app review mining tools; Intelligent app review mining techniques

Funding

  1. University of Manchester

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Mobile application (app) websites such as Google Play and AppStore allow users to review their downloaded apps. Such reviews can be useful for app users, as they may help users make an informed decision; such reviews can also be potentially useful for app developers, if they contain valuable information concerning user needs and requirements. However, in order to unleash the value of app reviews for mobile app development, intelligent mining tools that can help discern relevant reviews from irrelevant ones must be provided. This paper surveys the state of the art in the development of such tools and techniques behind them. To gain insight into the maturity of the current support mining tools, the paper will also find out what app development information these tools have discovered and what challenges they are facing. The results of this survey can inform the development of more effective and intelligent app review mining techniques and tools. Crown Copyright (C) 2018 Published by Elsevier Ltd.

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