IT Software Vendor
QA Automation

Transforming Manual QA Into High-Coverage Testing Automation for a Leading Scholarship Platform

Our client's cloud-based scholarship and donor management platform faced one major issue which was validating complex financial aid workflows. This was manually intensive and a process that completely lacked formal system documentation. Relying on undocumented application states to manually execute massive regression suites created significant release delays, degraded overall product quality, and severely limited engineering velocity.
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Challenge
Solution
The Outcome

The Challenge

A premier higher education software company needed to accelerate deployment cycles but found their undocumented, manual testing framework was unsustainable, risking high defect leakage and stalled application scaling during critical grant periods.

Ambiguous Application Workflows

The inability to quickly define expected outcomes, due to a complete absence of product requirements and module interaction mapping, severely capped the volume of critical functional coverage they could confidently manage and release at once.

Inefficient Regression Execution

Using specialized QA teams for undocumented, manual exploratory testing led to inconsistent validation states and spent highly skilled human labor on repetitive, slow regression cycles as the platform rapidly grew.

The Solution

We delivered a unified test automation architecture, combining advanced exploratory QA methodologies with a scalable Selenium C# backend to automate complex application validation and release cycles.

Exploratory Reverse Engineering

We developed a systematic QA methodology where engineers directly mapped undocumented workflows, defining critical system dependencies and complex business logic immediately.

Scalable Automation Framework

‍The application utilizes an optimized Selenium C# framework to execute automated regression suites smoothly, powering robust, repeatable test coverage from core financial data flows to complex user edge cases.

Page Object Model Architecture

‍We implemented a unified POM structure that automatically separates test scripts from UI elements, allowing for highly maintainable code based on evolving frontend application configurations.

Advanced Data Management

‍Powered by JSON structuring, the system immediately processes dynamic, data-driven test scenarios across complex student aid modules without the need for manual test data manipulation.

Complete Lifecycle Reporting

‍The framework dynamically accounts for pipeline visibility, including automated ExtentReports failure screenshots and real-time Slack notifications, guaranteeing total execution transparency for the entire engineering team.

The Outcome

The enterprise is now able to achieve faster, more reliable platform deployments. Automated Selenium suites and comprehensive workflow documentation have dramatically improved release confidence.

80% reduction in manual regression testing time across complex financial aid workflows

100% functional documentation and test coverage of previously ambiguous application states

60% faster post-deployment validation fueled by automated Selenium C# suites

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner
Nikolay Prokopiev
Chief Executive Officer
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