AI Transforms UI Testing for Automotive Software

A leading automotive software company faced challenges with manual UI testing, including time-consuming, incomplete coverage, and the potential for missed defects. They implemented an AI-powered visual testing platform that cut manual testing time in half, accelerated regression testing, and ensured comprehensive UI coverage. This resulted in a more efficient workflow and improved software quality.

Client:

Dealertrack is a leading provider of integrated software solutions for the automotive industry, including dealership management systems (DMS), customer relationship management (CRM), and finance and insurance (F&I) solutions. Dealertrack automates repetitive tasks and simplifies workflows, freeing up dealership staff to focus on building relationships and closing deals.

Problem Statement:

● High Volume and Manual Testing Bottleneck: Dealertrack handles a vast user base, and sensitive financial information passes through their platform. Manually testing every user workflow for UI consistency would be incredibly time-consuming (10 hours per sprint).

● Incomplete Test Coverage: Existing Selenium automation focused on functionality, leaving a significant gap in ensuring a consistent and visually pleasing user experience (UI).

● Tunnel Vision and Missed Defects: Manual testing can lead to a repetitive approach, potentially causing testers to overlook UI issues.

Results:

☑️ Manual Testing Time Cut in Half: Integrating Applitools slashed manual testing time by 50%, freeing up valuable resources for other tasks.

☑️ Faster Regression Testing: Regression testing was reduced from days to hours, allowing for quicker deployment of new features and improvements.

☑️ Greater UI Coverage: Dealertrack transitioned from zero automated UI testing to comprehensive coverage of critical user workflows. This ensures a visually appealing user experience across the platform.

☑️ Reduced Risk of UI Defects: The AI-powered solution helps identify and address UI inconsistencies before they impact users, minimizing potential bugs and enhancing overall quality.

AI Solution:

Dealertrack adopted Applitools, an AI-driven platform that uses advanced image recognition to detect minor visual discrepancies and easily works with current testing frameworks for a complete UI testing solution.

Applitools’ capabilities addressed Dealertrack’s limitations with previous automated UI testing tools, enabling them to analyze their user interface effectively.

QA Automation Engineer Jonathan Gray piloted Applitools by testing workflows, experiencing significant time savings and peace of mind with daily regression checks.

Impressed by the initial trial, the team embraced Applitools more broadly. As a result, non-coding testers gained the ability to manage test cases, while automation engineers were freed up to tackle more intricate tasks.

Streamlining the workflow delivered two benefits: boosted efficiency and a broader embrace of the AI solution by the organization.

References:

1. Dealertrack Moves From Zero UI Automation to Expansive Test Coverage with Applitools

Industry: Automotive Software
Vendor: Applitools

Client: Dealertrack