conestogac-acsit/SENG8130-Software-Quality-Applications-Lab
Jul 2025 – Jul 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Backend DevelopmentBackend developmentCSV ParsingFull stack developmentJavaScriptSoftware Design
Vrajpatel-new
PROFILE
Vrajpatel-new
Developed and delivered a robust CSV Import and Parsing System for student and evaluation data within the conestogac-acsit/SENG8130-Software-Quality-Applications-Lab repository. Focused on backend and full stack development using TypeScript and JavaScript, the work introduced a dedicated CSV parsing service, defined a new Student data type, and integrated parsing logic for evaluation data. Emphasis was placed on maintainability through targeted refactoring and the establishment of comprehensive unit and integration tests. This approach ensured data integrity and correctness across CSV ingestion paths, enabling safer data handling and laying a foundation for future extensibility within the repository’s data processing workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
2,047
Activity Months1
Your Network
47 peopleSame Organization
@conestogac.on.ca32
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the SENG8130 repository focusing on delivering a robust CSV Import and Parsing System for Student and Evaluation Data, with emphasis on test coverage and maintainability. Established a dedicated CSV parsing service, introduced a Student data type, and integrated parsing for evaluation data, all backed by unit and integration tests and targeted refactoring to improve maintainability and future extensibility.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the SENG8130 repository focusing on delivering a robust CSV Import and Parsing System for Student and Evaluation Data, with emphasis on test coverage and maintainability. Established a dedicated CSV parsing service, introduced a Student data type, and integrated parsing for evaluation data, all backed by unit and integration tests and targeted refactoring to improve maintainability and future extensibility.
July 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Backend DevelopmentBackend developmentCSV ParsingFull stack developmentJavaScriptSoftware DesignTypeScriptUnit Testing
Repositories Contributed To
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