GovTechSG/oobee
Nov 2024 – Nov 2024
1 Month active
Languages Used
EJSHTMLJavaScriptTypeScript
Technical Skills
AccessibilityAccessibility TestingAutomated TestingCode RefactoringDebuggingFront End Development
LeeYiXuan21
PROFILE
Leeyixuan21
During November 2024, S10243281@connect.np.edu.sg enhanced the GovTechSG/oobee repository by developing an advanced accessibility scoring system aligned with WCAG 3.1.5. They introduced a new text readability rule and expanded the crawler to grade HTML content, improving score reporting and observability. Using JavaScript and TypeScript, they modernized configuration by removing outdated rules and refining grading logic, while also adding debugging features for faster triage. Their work included updating automated tests and documentation to support the new pipeline. This focused engineering effort delivered a robust, data-driven approach to accessibility testing, reducing compliance risk and streamlining remediation for web content.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
1
Lines of code
475
Activity Months1
Your Network
8 people
Work History
November 2024
17 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for GovTechSG/oobee: Delivered WCAG 3.1.5-aligned accessibility scoring across HTML content by introducing a new text readability rule and expanding the crawler to grade text content, with improved score reporting, logging, and documentation. Streamlined configuration by removing an outdated rule and updating the grading rule linkage. Implemented debugging enhancements and QA fixes to ensure stable, actionable accessibility feedback. The changes reduce compliance risk, accelerate remediation, and demonstrate proficiency in rule-based accessibility testing, data-driven scoring, and observability.
17 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for GovTechSG/oobee: Delivered WCAG 3.1.5-aligned accessibility scoring across HTML content by introducing a new text readability rule and expanding the crawler to grade text content, with improved score reporting, logging, and documentation. Streamlined configuration by removing an outdated rule and updating the grading rule linkage. Implemented debugging enhancements and QA fixes to ensure stable, actionable accessibility feedback. The changes reduce compliance risk, accelerate remediation, and demonstrate proficiency in rule-based accessibility testing, data-driven scoring, and observability.
November 2024
Activity
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Quality Metrics
Correctness87.0%
Maintainability88.2%
Architecture82.4%
Performance81.2%
AI Usage22.4%
Skills & Technologies
Programming Languages
EJSHTMLJavaScriptTypeScript
Technical Skills
AccessibilityAccessibility TestingAutomated TestingCode RefactoringDebuggingFront End DevelopmentFront-end DevelopmentFrontend DevelopmentFull Stack DevelopmentJavaScriptText AnalysisTypeScriptWCAG ComplianceWeb AccessibilityWeb Development
Repositories Contributed To
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