JSAnalyzer: A Web Developer Tool for Simplifying Mobile Web Pages through Non-critical JavaScript Elimination

Author:

Chaqfeh Moumena1ORCID,Coke Russell1ORCID,Hu Jacinta1ORCID,Hashmi Waleed1ORCID,Subramanian Lakshmi2ORCID,Rahwan Talal1ORCID,Zaki Yasir1ORCID

Affiliation:

1. New York University Abu Dhabi, Abu Dhabi, UAE

2. New York University, NY, USA

Abstract

The amount of JavaScript used in web pages has substantially grown in the past decade, leading to large and complex pages that are computationally intensive for handheld mobile devices. Due to the increasing usage of these devices to access today’s web, and to accommodate the needs of a large number of mobile web users who solely rely on low-end devices, we propose “JSAnalyzer,” an easy-to-use tool that enables web developers to quickly optimize JavaScript usage in their pages and to generate simpler versions of these pages for mobile web users. JSAnalyzer is motivated by the widespread use of non-critical JavaScript elements, i.e., those that have negligible (if any) impact on the page’s visual content and interactive functionality. JSAnalyzer allows the developer to selectively enable or disable JavaScript elements in any given page while visually observing their impact on the page to (1) accurately identify any non-critical JavaScript elements and (2) create a simplified page with these elements removed. Our quantitative evaluation shows that, given a low-end mobile phone, JSAnalyzer achieves an increase of nearly 90% in Google’s lighthouse performance score while reducing the page load time by 30%. A qualitative study of 22 users shows that the lighter pages produced by JSAnalyzer maintain more than 90% visual similarity compared to the original pages. Moreover, JSAnalyzer was evaluated by 69 developers, showing that it scores nearly 90% in terms of usefulness and usability while retaining the page’s content and functionality. Finally, we show that JSAnalyzer outperforms state-of-the-art solutions in terms of timing speedups and resource savings.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference65 articles.

1. 2005. Easy List - About. Retrieved July 8 2021 from https://easylist.to/pages/about.html.

2. 2009. Surf the web without annoying pop ups and ads. Retrieved May 2 2020 from https://getadblock.com/.

3. 2011. JSCompress - The JavaScript Compression Tool. JSCompress.com. Retrieved May 1 2020 from https://jscompress.com/.

4. 2015. Concatenation of JS and CSS files. IBM. Retrieved February 20 2022 from https://www.ibm.com/docs/en/mpf/7.1.0?topic=applications-concatenation-js-css-files.

5. 2016. Sybu JavaScript Blocker–Google Chrome Extension. Sybu Data (Pty) Ltd. Retrieved May 2 2020 from https://sybu.co.za/wp/projects/js-blocker/.

Cited by 3 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. Demo: Towards Faster Web in Developing Regions;Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos;2024-08-04

2. A Worldwide Look Into Mobile Access Networks Through the Eyes of AmiGos;2023 7th Network Traffic Measurement and Analysis Conference (TMA);2023-06-26

3. Muzeel;Proceedings of the 22nd ACM Internet Measurement Conference;2022-10-25

同舟云学术

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