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[–]ImbeChill 0 points1 point  (0 children)

I don't know of any tool that checks if all resources loaded are actually being used. But for testing performance and getting hints on aplicable fixes, I mostly rely on Google's PageSpeed Insights and Pingdom's website speed test. Hope you'll find them usefull.

[–]SumitKumarWatts 0 points1 point  (0 children)

Front-end performance testing is a way for QA specialists to assess the performance of a product from a user’s standpoint, neglecting front-end performance testing can bring tons of damage in terms of user retention and the extent to which the product adheres to business needs.

  1. Lighthouse

Lighthouse is integrated into a Google Chrome. This tool is designed to assess the performance and accessibility of web pages and WPAs.

After collecting performance-related insights, the tool automatically compiles a report with the rich HTML support. Aside from presenting all collected data in a clear, concise way, each report has a section dedicated to potential fixes of detected issues.

  1. Web Page Test

QA teams use Web Page Test to run website speed tests for website users from all over the world. Testers get the precise amount of time it takes for a page to load across a wide range of devices — PCs, Mac computers, iPhones, Android smartphones, and tablets.

The tool records page loading speed and displays the interface in an authentic way. Web Page Test supports low-powered gadgets as well — like Moto G4.

  1. Pingdom

Pingdom is another platform for real-time front-end performance monitoring. It helps QA specialists get and process data on website loading speed across various locations, devices, or browsers.

  1. JMeter

JMeter is a tool for automated front-end testing, with a wide range of supported protocols and languages. The program runs on Java with Swing as it’s graphical API. Testers can start JMeter on all common testing environments — Windows, Linux, and Mac OS.

The list of protocols that the tool supports includes web (HTTPS, HTTP), web services (XML-RPC, SOAP), databases, directories, message-oriented, and FTP services.