NCATComp410/comp410_spring_2025
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
Regular ExpressionsTest Driven DevelopmentTest-Driven DevelopmentUnit Testing
sanaimcclary1
PROFILE
Sanaimcclary1
Worked on enhancing AU_ABN entity recognition test coverage in the NCATComp410/comp410_spring_2025 repository, focusing on both positive and negative scenarios as well as context-aware cases. Applied Python and regular expressions within a test-driven development workflow to validate entity detection, refine input handling, and ensure correct scoring when context precedes the entity. Developed comprehensive unit tests to confirm behavior when AU_ABN is absent and to guard against regressions. The work improved overall test suite reliability, established end-to-end traceability to specific commits, and reduced production risk by making entity recognition more robust and reproducible through clear, maintainable test coverage.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
56
Activity Months1
Your Network
15 peopleSame Organization
@aggies.ncat.edu7
Work History
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025: Strengthened AU_ABN entity recognition test coverage across positive, negative, and context-aware scenarios for NCATComp410/comp410_spring_2025. Implemented coverage for absent AU_ABN behavior, refined positive inputs, added negative tests for invalid inputs, and validated scoring when context precedes the entity. Result: higher reliability, reduced regression risk, and clearer test traces from commits.
4 Commits • 1 Features
Feb 1, 2025February 2025: Strengthened AU_ABN entity recognition test coverage across positive, negative, and context-aware scenarios for NCATComp410/comp410_spring_2025. Implemented coverage for absent AU_ABN behavior, refined positive inputs, added negative tests for invalid inputs, and validated scoring when context precedes the entity. Result: higher reliability, reduced regression risk, and clearer test traces from commits.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability85.0%
Architecture65.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Regular ExpressionsTest Driven DevelopmentTest-Driven DevelopmentUnit Testing
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