Learning Features that Predict Developer Responses for iOS App Store Reviews
Author:
Affiliation:
1. University of Southern California, Los Angeles, California
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3382494.3410686
Reference35 articles.
1. Examining User-Developer Feedback Loops in the iOS App Store
2. Breiman L. Random forests. Machine learning 45 1 (2001) 5--32. Breiman L. Random forests. Machine learning 45 1 (2001) 5--32.
3. AR-miner: mining informative reviews for developers from mobile app marketplace
4. What would users change in my app? summarizing app reviews for recommending software changes
5. Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. How to effectively mine app reviews concerning software ecosystem? A survey of review characteristics;Journal of Systems and Software;2024-07
2. Evaluating Developer Responses to App Reviews: The Case of Mobile Banking Apps in Saudi Arabia and the United States;Sustainability;2023-04-15
3. "For an App Supposed to Make Its Users Feel Better, It Sure is a Joke" - An Analysis of User Reviews of Mobile Mental Health Applications;Proceedings of the ACM on Human-Computer Interaction;2022-11-07
4. Predictive Models in Software Engineering: Challenges and Opportunities;ACM Transactions on Software Engineering and Methodology;2022-04-09
5. Analysing app reviews for software engineering: a systematic literature review;Empirical Software Engineering;2022-01-20
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3