taquocy/e-commerce-for-test-automation
Feb 2025 – Feb 2025
1 Month active
Languages Used
INIPython
Technical Skills
Configuration ManagementPage Object ModelSeleniumUnit Testing
Pham van Tai
PROFILE
Pham Van Tai
During February 2025, Tai Nguyen developed automated test coverage for the product detail page in the taquocy/e-commerce-for-test-automation repository. He implemented a Page Object Model in Python, defining locators and interaction methods for key PDP elements such as product image, name, description, price, and the add-to-bag button. Leveraging Selenium and unit testing, Tai created a comprehensive test suite that validates both rendering and user interactions, supporting continuous integration goals. His work established a reusable automation framework for the PDP, reducing manual QA effort and enabling scalable future coverage. The depth of implementation provides a solid foundation for ongoing test automation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
111
Activity Months1
Your Network
20 peopleWork History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for taquocy/e-commerce-for-test-automation: Focused on expanding test automation coverage for the product detail page (PDP). Key accomplishments include delivering automated PDP flow with defined locators and interaction methods for product image, name, description, price, and add-to-bag button, plus a comprehensive test suite validating rendering and user interactions. These changes lay groundwork for scalable PDP automation, support CI pipelines, and reduce manual QA effort.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for taquocy/e-commerce-for-test-automation: Focused on expanding test automation coverage for the product detail page (PDP). Key accomplishments include delivering automated PDP flow with defined locators and interaction methods for product image, name, description, price, and add-to-bag button, plus a comprehensive test suite validating rendering and user interactions. These changes lay groundwork for scalable PDP automation, support CI pipelines, and reduce manual QA effort.
February 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
INIPython
Technical Skills
Configuration ManagementPage Object ModelSeleniumUnit Testing
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