Frontend Development 5 min read

A Modular Approach to Browser Compatibility Testing with Selenium, Virtual Machine Scheduling, and Custom UI Result Judgment

The article presents a three‑module architecture—Selenium for element interaction, a virtual‑machine scheduler to handle multiple browsers, and a custom result‑judgment component—to achieve reliable, automated web UI compatibility testing that overcomes the limitations of pure Selenium or manual methods.

360 Quality & Efficiency
360 Quality & Efficiency
360 Quality & Efficiency
A Modular Approach to Browser Compatibility Testing with Selenium, Virtual Machine Scheduling, and Custom UI Result Judgment

Background : Traditional web browser compatibility testing often relies on manual checks or Selenium‑based automation, which struggle with coordinate‑based clicks, browser version coexistence, and UI visual verification.

Solution Overview : The proposed system consists of three core modules: Selenium for element identification and actions, a virtual‑machine scheduling layer to run isolated browser instances, and a custom result‑judgment engine that compares actual UI screenshots with expected images.

Portal : Users interact through a web portal to specify the target page, desired browsers, host settings, page actions, and optional expected result images; the portal forwards these parameters to the server control module.

Server Control : Based on the selected browsers, the server initiates the appropriate virtual machines via the scheduler and distributes the test configuration to each VM.

Virtual‑Machine Scheduling : This component launches isolated VMs, each pre‑installed with Selenium, the required browser, and its driver, thereby solving the browser coexistence problem.

Client (VM) : Inside each VM, a client program prepares the environment (sets host, launches Selenium, opens the browser), executes the scripted interactions, captures full‑page screenshots, and reports results back to the server.

Result Judgment : The server receives the actual screenshots, compares them with any provided expected images using similarity metrics, and presents the outcome through the portal; users can also save results for future regression testing.

The article focuses on the architectural design and operational principles, leaving detailed code implementations to external resources.

UI AutomationVirtual MachineCompatibilitySeleniumweb testingbrowser testing
360 Quality & Efficiency
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360 Quality & Efficiency

360 Quality & Efficiency focuses on seamlessly integrating quality and efficiency in R&D, sharing 360’s internal best practices with industry peers to foster collaboration among Chinese enterprises and drive greater efficiency value.

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