Understanding Quality of Experiences on Different Mobile Browsers

Author:

Tian Deyu1,Ma Yun1

Affiliation:

1. Key Lab of High-Confidence Software Technology, MoE (Peking University), Beijing, China

Funder

Open Project Fund of National Engineering Lab of Big Data System Software of China

China Postdoctoral Science Foundation

Publisher

ACM

Reference29 articles.

1. Alexa. http://www.alexa.com/. Alexa. http://www.alexa.com/.

2. Charles proxy. http://www.charlesproxy.com/. Charles proxy. http://www.charlesproxy.com/.

3. Iconic cloud acceleration and data compression. http://www.ucweb.com/a/ppress/2015/0713/4314.html. Iconic cloud acceleration and data compression. http://www.ucweb.com/a/ppress/2015/0713/4314.html.

4. Market share of browsers of smartphones in china. http://brow.data.cnzz.com/. Market share of browsers of smartphones in china. http://brow.data.cnzz.com/.

5. Mobile HTTP archive. http://mobile.httparchive.org/. Mobile HTTP archive. http://mobile.httparchive.org/.

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1. Anatomizing Deep Learning Inference in Web Browsers;ACM Transactions on Software Engineering and Methodology;2024-08-14

2. The state of the art in measurement-based experiments on the mobile web;Information and Software Technology;2022-09

3. On the Impact of the Critical CSS Technique on the Performance and Energy Consumption of Mobile Browsers;The International Conference on Evaluation and Assessment in Software Engineering 2022;2022-06-13

4. Energy wars - Chrome vs. Firefox;Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops;2020-09-21

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