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Google PageSpeed is a family of tools by Google, Inc. [1] designed to help optimize website performance. [2] It was introduced at a Developer Conference in 2010. [3] [4] There are four main components of PageSpeed family tools: PageSpeed Module (consisting of mod PageSpeed [5] for the Apache HTTP Server and NGX PageSpeed [6] for the Nginx) [7 ...
Lighthouse audits performance, accessibility, and search engine optimization factors of web pages, [1] [2] [3] this is the major difference from Google PageSpeed, Lighthouse provides more detail information. It also includes the ability to test progressive web applications for compliance with standards and
In many situations, the score statistic reduces to another commonly used statistic. [11] In linear regression, the Lagrange multiplier test can be expressed as a function of the F-test. [12] When the data follows a normal distribution, the score statistic is the same as the t statistic. [clarification needed]
At the time, no browser using the Presto or WebKit layout engines passed the performance aspect of the test. [23] [24] Google Chrome and Opera Mobile [25] displayed a score of 100/100. [26] Security concerns over downloadable fonts delayed Chrome from passing. [27] Versions 68 and later of Chrome get a score of 97/100, due to failing tests 23 ...
Google Test UI is a software tool for testing computer programs, and serves as a test runner. It employs a 'test binary', a compiled program responsible for executing tests and analyzing their results, to evaluate software functionality. It visually presents the testing progress through a progress bar and displays a list of identified issues or ...
A browser speed test is a computer benchmark that scores the performance of a web browser, by measuring the browser's efficiency in completing a predefined list of tasks. In general the testing software is available online, located on a website, where different algorithms are loaded and performed in the browser client.
Google Web Accelerator was a web accelerator produced by Google. It used client software installed on the user's computer, as well as data caching on Google's servers, to speed up page load times by means of data compression , prefetching of content, and sharing cached data between users.
The test functions used to evaluate the algorithms for MOP were taken from Deb, [4] Binh et al. [5] and Binh. [6] The software developed by Deb can be downloaded, [ 7 ] which implements the NSGA-II procedure with GAs, or the program posted on Internet, [ 8 ] which implements the NSGA-II procedure with ES.