TestMu AI Blogs

Cross browser testing serves two purposes: discovering bugs that appear only in specific browsers, and confirming your audience gets a consistent experience everywhere. It works best as three levels, first testing locally for bugs, then prioritizing browsers by risk, then a final sanity pass ordered by market share.

Testing fintech applications is complex and requires an understanding of the fintech domain. With the help of real world examples learn how to optimize the testing process.

Blockchain testing verifies that transactions on a distributed ledger validate, encrypt, and add correctly to the chain, since Bitcoin currently processes only 3 to 4 transactions per second versus Visa's 2000 and PayPal's 193. It checks block size, capped near 1 megabyte, chain size, load, security layers, data transmission, and cryptographic accuracy.

A Progressive Web Application (PWA) is a website built to feel like a native app, installable to the home screen, capable of full-screen and offline use, and able to send push notifications, all through the browser. Testing one means checking speed, since 53% of users abandon a slow site, connectivity handling, and HTTPS security.

According to FinancesOnline’s experts, “TestMu AI (Formerly LambdaTest) allows users to hasten release processes and seamlessly test their websites or web applications across more than 1,400 browsers and their assorted versions on multiple operating systems in varying screen resolutions.

For graphic creations we tested various image editing tools ranging from paint to photoshop. However nothing fared better than simplicity and productivity of Canva. We found it so interesting that we decided to dig further into it about how the tool can help you and what makes it stand out.

With smart image to image comparison, now with just one click you will be able to identify visual deviations introduced with the new build related to Icon Size, Padding, Color, Layout, Text as well as Element’s position and much more.

It wasn’t very long ago when humans used to create algorithmic blogs that behaved like the real artificial intelligence. Simple and long code that basically said do this if this… or do that if that… for a while worked perfectly, and in many day to day activities it still works.

Writing your first Selenium automation script takes about 20 minutes once Python, the Selenium bindings, and geckodriver are installed for Firefox. Using Python and WebDriver, the script opens myntra.com, searches for a watch, clicks submit, waits for the results page to load with WebDriverWait, and saves a screenshot before closing the browser.

In the selenium library, Loadable Component class helps the automation test engineers to make sure that the page or its component is loaded successfully. This hack should greatly reduce the efforts that you put in debugging your test cases.

Automating acceptance testing for mobile apps means writing acceptance criteria as executable Given-When-Then scenarios in Gherkin, driving them through a framework such as Appium, Espresso, or XCUITest, and running that suite on a real device cloud from CI/CD so every build, not just every release, gets validated automatically.

Virtualization creates a virtual version of an operating system, server, storage, or desktop that runs inside your actual hardware, letting testers switch between memory, OS, and browser configurations without new machines. Server virtualization alone can achieve a 10:1 virtual-to-physical ratio, letting one physical server support ten virtual test environments at once.

Automation testing runs test cases with software instead of manual effort, cutting the time needed to validate builds so testing keeps pace with Agile's continuous development, integration, and deployment cycles. Because DevOps depends on fast, repeated test cycles between teams, it becomes the backbone that keeps releases from stalling.

Automation testing can solve your problem for fast testing methods if proper tools are used in an effective manner. There are various tools that are available for automating a testing process like Selenium, TestNG, Appium, Cucumber, Test Studio, etc. These tools require a test case to be developed according to the needs of application/software to be tested.

Codeless automation testing is creating automated tests without writing code, most often by recording a manual test click by click and having the tool generate the script, or by building structured test flow diagrams. A newer approach lets testers describe steps in plain English while an AI agent works out the automation.