💡 “A single pixel mismatch can break user trust faster than a crash.”
About 88% of users stop using apps or websites due to poor user experience (Forrester). Moreover, about 60% of churn happens due to improper UI/UX in the respective software / App. Even tiny UI glitches, like a button alignment or text overlapping, can eradicate trust. That’s why Visual Regression Testing Tools have become a critical part of modern QA workflows.
Testing is critical in the FinTech space, where even minor bugs in transaction flows or computations can lead to trust erosion, financial losses, or compliance failures. Given the high volume of financial data, third-party integrations, and regulatory requirements, QA in FinTech must go beyond basic UI or API checks—it must validate correctness, and stability at scale.
This guide walks you through how DevAssure, a SOC2-compliant AI-driven test automation platform, simplifies FinTech testing while enabling deep validations—visually, functionally, and across data formats like Excel and CSV.
In software testing, besides testing new features before shipping to customers, it's also important to test the existing features in the application. Predominantly, different features across the software use shared resources. Modifying any of these shared resources for the new features, might cause compatibility issues with existing features. In other words, it causes regressions in the existing features or existing parts of the software. Hence regression testing is the process of testing the existing application or software for any defects that might have occurred due to the new changes being introduced. Regression testing can be performed across functional and non functional use cases.
Automated tests to validate graphs and charts are often tricky depending on the library used to generate the graphs and charts.