Towards Web Performance Mining

2009 ◽  
pp. 81-102 ◽  
Author(s):  
Leszek Borzemski
Keyword(s):  
Web Performance

Web performance acceleration by caching rendering results

2015 ◽  
Author(s):  
Yuusuke Nakano ◽  
Noriaki Kamiyama ◽  
Kohei Shiomoto ◽  
Go Hasegawa ◽  
Masayuki Murata ◽  
...  
Keyword(s):  
Web Performance

A Web Performance Modeling Process Based on the Methodology of Learning from Data

2008 ◽  
Author(s):  
Jianfei Yin ◽  
Zhong Ming ◽  
Zhijiao Xiao ◽  
Hui Wang
Keyword(s):  
Performance Modeling ◽  
Web Performance ◽  
Learning From Data ◽  
Modeling Process

DMS — Improving Web performance

2011 ◽  
Author(s):  
Aleksandar Jevremovic ◽  
Ranko Popovic ◽  
Dejan Zivkovic ◽  
Mladen Veinovic ◽  
Goran Shimic
Keyword(s):  
Web Performance

scholarly journals Usability Evaluation of Encyclopedia Websites

2021 ◽  
Vol 11 (1) ◽  
pp. 21-25
Author(s):  
Nor Azman Ismail ◽  
Fadzrul Izwan Jamaluddin ◽  
Akmal Harraz Hamidan ◽  
Ahmad Fariz Ali ◽  
Su Elya Mohamed ◽  
...  
Keyword(s):  
Standard Form ◽  
Usability Testing ◽  
Cost Effective ◽  
Usability Evaluation ◽  
Web Performance ◽  
Testing Tools ◽  
Usability Tests ◽  
Website Analysis ◽  
User Friendly

Usability is an important aspect that every website should focus more. It tells us how well and success website will function with real users. Many people often think usability tests are expensive and time-consuming. It can be a cost-effective and time saver with usability testing instead of spending more time fixing an unusable website. This study evaluates the usability of encyclopedia websites by using automated usability testing tools and questionnaire methods. The questionnaire was developed based on a standard form called Website Analysis and Measurement Inventory (WAMMI) that identified 20 common usability questions divided into five categories. Each category deals with one aspect of usability. Simultaneously, the automated usability testing tools used in this study were Pingdom and GT Metrix to calculate and analyse the website performance of selected encyclopedia websites based on website components including page load time, media size and overall web performance grades. This study could help web designer, developer, and practitioners design better and more user-friendly encyclopedia websites.

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