CRM System Testing

QA automation that drove critical bugs to zero.

Client: US Startup (NDA)
Location: United States
Platform: Web · Startup
Sector: QA

What we did QA Automation · Unit Testing · Stress Testing

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Built with

The stack behind CRM System Testing

ATApache Tomcat
Selenium RC
JIRA
AJApache JMeter

Results

What the client had at the end of the engagement.

Identified and resolved over 500 complex bugs.
Reduced critical user-facing bugs to zero.
Decreased business functionality bugs by 4x and UI/layout bugs by more than 10x.
Increased peak system load capacity by 42% without altering existing infrastructure.

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Before

Background

A US-based startup faced severe quality degradation in their .Net-based SaaS CRM system. Despite having a large manual QA team, the system suffered from critical bugs that leaked into production, leading to an increasing number of negative reviews and subsequent user churn.

After

What we did

We rebuilt their QA pipeline. We automated the stable parts of the suite, split the system into testable units, and ran sustained stress testing, which moved their deployment process off manual checks and onto an automated one.

Inside the product

The parts that took the work, and what each one does.

Automation Coverage Split: A test plan separating the volatile cases that stay manual from the stable, repetitive ones worth automating in Selenium.
Stress Testing Pipelines: JMeter load simulations run past the expected ceiling to find where the infrastructure fails, then patch those points.
Data Integrity Optimization: Deep architectural refinements resulting directly from test data that improved the consistency and reliability of the CRM's core databases.
Zero-Defect Release Protocol: A restructured deployment gatekeeping process that successfully reduced the escape rate of critical bugs to zero.

How we verified it

The checks that ran before this went in front of users.

Test framework: Transitioned the core QA strategy by automating crucial and less variable functionalities using Selenium RC, while implementing strict Unit-testing mandates for developers.
Load and stress: Used JMeter to run stress testing sessions, identifying memory leaks and optimizing backend code to achieve the 42% capacity increase.
Security: Automated penetration testing integrated into the build process to ensure CRM data security compliance prior to deployment.

How it is put together

Layer by layer, and why each choice was made.

Front end: Automated layout and UI validation scripts integrated into the CI/CD pipeline to catch regressions across varied device viewpoints.
Back end: Deep API endpoint testing to validate data integrity across the .Net architecture, ensuring relational data maintained strict consistency.
Data: Conducted database transaction monitoring during stress loads to identify deadlocks and optimize query execution plans.
Infrastructure: Integrated JIRA for seamless defect tracking and agile sprint alignment, deployed via Apache Tomcat test environments for isolated validation.