taquocy/e-commerce-for-test-automation
Nov 2024 – Nov 2024
1 Month active
Languages Used
INIPython
Technical Skills
Configuration ManagementPage Object ModelSelenium WebDriverUnit Testing
tranvietbinh2003
PROFILE
Tranvietbinh2003
During November 2024, Binh Nguyen developed automated testing scaffolding for the Home Page in the taquocy/e-commerce-for-test-automation repository. He established a Page Object Model and an end-to-end test harness using Python and Selenium WebDriver, focusing on repeatable UI tests for key interactions such as Add to Basket, Add to Cart, and Load More. By configuring the driver path and base URL, Binh enabled consistent and scalable test execution. His work included initial Home Page test files and emphasized configuration management and unit testing, laying a solid foundation for future UI automation and reducing manual QA effort for upcoming releases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
117
Activity Months1
Your Network
20 peopleSame Organization
@donga.edu.vn8
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Nov 2024: Delivered automated testing scaffolding for the Home Page in taquocy/e-commerce-for-test-automation, establishing a Page Object Model and an end-to-end test harness. Configured driver path and base URL to enable repeatable UI tests of Home Page interactions (Add to Basket, Add to Cart, Load More) and validation of newly loaded content. The work lays the foundation for scalable UI test automation and reduces regression risk ahead of releases.
1 Commits • 1 Features
Nov 1, 2024Nov 2024: Delivered automated testing scaffolding for the Home Page in taquocy/e-commerce-for-test-automation, establishing a Page Object Model and an end-to-end test harness. Configured driver path and base URL to enable repeatable UI tests of Home Page interactions (Add to Basket, Add to Cart, Load More) and validation of newly loaded content. The work lays the foundation for scalable UI test automation and reduces regression risk ahead of releases.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
INIPython
Technical Skills
Configuration ManagementPage Object ModelSelenium WebDriverUnit Testing
Repositories Contributed To
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