E-commerce-Case Study

The e-commerce platform operates as an online marketplace facilitating seamless trade between suppliers, resellers, and customers. With heavy reliance on external social media platforms for business operations, the platform faced challenges in ensuring a robust and reliable system amidst complex workflows. Frequent patch updates and quarterly critical releases demanded rigorous testing to ensure uninterrupted service delivery. Additionally, a significant portion of testing processes was manual, resulting in inefficiencies and longer release cycles.

To address these challenges, Our team deployed six skilled resources and implemented a structured testing strategy leveraging a range of tools and methodologies:
Performed comprehensive deployment validation checks for smooth production roll-outs, reducing post-deployment issues by 20%.

API Testing::

Utilized Swagger to ensure seamless interaction between services.

Performance Testing:

Conducted performance testing using JMeter to ensure scalability and reliability under varying loads.

ETL Testing:

Verified the accuracy and consistency of data used by the platform with a dedicated team of two resources.

Project Management:

Adopted the Scrum model to ensure iterative development and testing cycles, with detailed documentation maintained in Confluence.

Automation Suite Enhancement:

Enhanced the existing automation suite, achieving 80% automation of manual testing efforts.

Accomplishments

  • Increased Efficiency : Automation of 80% of manual testing efforts significantly reduced testing time and improved accuracy.
  • Enhanced Reliability: Patch testing conducted during monthly releases and robust support during critical quarterly releases ensured smooth deployment with minimal defects.
  • Comprehensive Coverage :Authored and executed detailed test cases covering all critical workflows, reducing defect leakage by 40%.
  • Scalability Assurance: Performance testing with JMeter identified and resolved bottlenecks, improving platform responsiveness by 30%.
  • Data Accuracy: ETL testing ensured 100% accuracy of data used across the platform, enhancing overall data reliability.

Tools implemented in this Testing Solution

  • JIRA: Test case management and tracking.
  • Selenium, Appium: Automation testing.
  • Confluence: Documentation and knowledge sharing.
  • Jenkins: CI/CD pipeline management.
  • JMeter: Performance testing.

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