...
首页> 外文期刊>Expert Systems with Application >Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools
【24h】

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

机译:从移动应用程序审查中提取有用的软件开发信息:智能挖掘技术和工具的调查

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

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.
机译:诸如Google Play和AppStore之类的移动应用程序(app)网站允许用户查看其下载的应用程序。这样的评论对应用程序用户可能有用,因为它们可以帮助用户做出明智的决定;如果此类评论包含有关用户需求和要求的有价值的信息,则它们对于应用程序开发人员也可能是有用的。但是,为了释放应用程序评论在移动应用程序开发中的价值,必须提供智能挖掘工具,该工具可以帮助区分不相关的评论。本文对这些工具和背后的技术的发展现状进行了调查。为了深入了解当前支持挖掘工具的成熟度,本文还将找出这些工具发现了哪些应用程序开发信息以及它们面临的挑战。这项调查的结果可以为开发更有效,更智能的应用程序审查挖掘技术和工具提供信息。冠版权(C)2018由Elsevier Ltd发布。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号