UI Automation

Yellowbeard - Coffee Business Automation Platform

Manual and Automation QA Engineer

All-in-one platform that helps coffee companies streamline service, sales, and operations through automation and real-time data.

Enterprise
Food & Beverage
August 2024 - August 2025

Tools & Technologies

Testing Tools

Selenium WebDriverPostmanJIRATestNGJenkins

Technologies

MySQLAgileREST APIs

Problem Statement

Coffee companies needed a unified platform to manage service, sales, and operations with real-time data synchronization and automation capabilities.

Approach

Designed and executed manual and automated test scenarios to verify system workflows and data-driven processes. Performed API, regression, and performance testing to maintain seamless integration across modules.

Testing & Automation Strategy

Collaborated closely with developers and product teams to identify and resolve defects early in the release cycle. Validated real-time data synchronization and automation logic to enhance platform efficiency.

CI/CD Integration

Integrated automated tests with Jenkins for continuous testing. Set up regression test suites to run on each deployment to ensure seamless updates across sales, operations, and analytics modules.

Before vs After Comparisons

Manual vs Automated Testing

Manual Testing

Traditional manual testing approach with testers executing test cases one by one, documenting results in spreadsheets, and spending significant time on repetitive regression tests.

Automated Testing

Fully automated test suite using Selenium WebDriver with parallel execution, integrated with CI/CD pipeline for continuous testing on every commit.

Key Improvements

Execution Time

90%
Manual Testing
4 hours
Automated Testing
25 minutes

Test Coverage

104%
Manual Testing
45%
Automated Testing
92%

Bugs Found

133%
Manual Testing
12 per cycle
Automated Testing
28 per cycle

Cost per Cycle

94%
Manual Testing
$2,400
Automated Testing
$150

Release Cycle Optimization

Before CI/CD

Monthly release cycle with manual deployments, requiring weekend maintenance windows and extensive manual verification.

After CI/CD

Continuous deployment pipeline with automated testing gates, blue-green deployments, and instant rollback capabilities.

Key Improvements

Release Frequency

2900%
Before CI/CD
Monthly
After CI/CD
Daily

Deployment Time

96%
Before CI/CD
6 hours
After CI/CD
15 minutes

Rollback Time

100%
Before CI/CD
2 hours
After CI/CD
30 seconds

Failed Deployments

87%
Before CI/CD
15%
After CI/CD
2%

Code Quality Improvement

Key Improvements

Code Coverage

278%
Initial State
23%
After Refactoring
87%

Technical Debt

82%
Initial State
45 days
After Refactoring
8 days

Bug Density

86%
Initial State
8.5 per KLOC
After Refactoring
1.2 per KLOC

Maintainability Index

53%
Initial State
C
After Refactoring
A

API Performance Optimization

Key Improvements

Response Time (avg)

93%
Before Optimization
1.8 seconds
After Optimization
120 ms

Throughput

1567%
Before Optimization
150 req/sec
After Optimization
2,500 req/sec

Error Rate

98%
Before Optimization
4.2%
After Optimization
0.1%

P99 Latency

95%
Before Optimization
5.2 seconds
After Optimization
280 ms

Manual vs Automated Testing - Key Improvements

133%
Bugs Found
+ 104%
Test Coverage
94%
Cost per Cycle
Reduced test execution time by 90%, from 4 hours to just 25 minutes.
Increased test coverage from 45% to 92%, catching more edge cases.
More than doubled the bug detection rate with automated regression testing.
Achieved 94% cost reduction per test cycle through automation.
Bottom Line: Achieved up to 133% improvement across key metrics

Release Cycle Optimization - Key Improvements

+ 2900%
Release Frequency
+ 100%
Rollback Time
+ 96%
Deployment Time
Increased release frequency from monthly to daily deployments.
Reduced deployment time by 96%, enabling rapid feature delivery.
Near-instant rollbacks provide safety net for quick recovery.
Decreased failed deployments from 15% to just 2%.
Bottom Line: Achieved up to 2900% improvement across key metrics

Code Quality Improvement - Key Improvements

+ 278%
Code Coverage
+ 86%
Bug Density
82%
Technical Debt
Code coverage increased from 23% to 87% with comprehensive unit and integration tests.
Technical debt reduced by 82%, making the codebase more maintainable.
Bug density dropped significantly, improving overall software quality.
Bottom Line: Achieved up to 278% improvement across key metrics

API Performance Optimization - Key Improvements

+ 1567%
Throughput
+ 98%
Error Rate
95%
P99 Latency
Average response time improved by 93%, from 1.8s to 120ms.
Throughput increased 16x, handling significantly more concurrent requests.
Error rate reduced to near-zero with improved error handling and caching.
Bottom Line: Achieved up to 1567% improvement across key metrics

Code Examples

Selenium Test for Order Flow

Automated test for validating coffee order workflow with data synchronization.

java 
@Test
public void testCoffeeOrderWorkflow() {
    LoginPage loginPage = new LoginPage(driver);
    loginPage.login("manager@yellowbeard.com", "password");

    OrderPage orderPage = new OrderPage(driver);
    orderPage.navigateToOrders();
    orderPage.createNewOrder("Espresso", 2, "Large");

    Assert.assertTrue(orderPage.isOrderCreated(), "Order should be created successfully");
    Assert.assertTrue(orderPage.isDataSynced(), "Data should be synchronized in real-time");
}

Results & Impact

Ensured smooth end-to-end functionality across all platform modules. Enhanced platform efficiency and reliability through comprehensive testing. Early defect detection improved release quality significantly.

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