softwareconstruction240/autograder
May 2026 – Jun 2026
2 Months active
Languages Used
JavaJavaScriptSQL
Technical Skills
JavaMavenNode.jsVue.jsback end developmentbackend development
Jacob Memmott
PROFILE
Jacob Memmott
Worked on the softwareconstruction240/autograder repository to enhance grading tooling and streamline rubric configuration management. Focused on stabilizing core workflows by expanding test coverage, refactoring Canvas integration for safer user retrieval, and centralizing rubric configuration across both memory and SQL DAOs. Applied Java, SQL, and the DAO pattern to ensure consistent rubric processing and reduce configuration drift, while also simplifying the data model for easier maintenance. Emphasized code cleanliness by removing unused imports and redundant fields, resulting in a leaner codebase. The work improved reliability in grading submissions and made future enhancements and onboarding more straightforward for developers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
4
Lines of code
51,179
Activity Months2
Your Network
15 peopleShared Repositories
15
Work History
June 2026
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for softwareconstruction240/autograder: Delivered features to centralize rubric configuration across DAOs and cleaned the codebase for maintainability. Fixed a key bug to ensure parity between in-memory and SQL rubric configuration behavior. Result: more reliable rubric processing across phases, reduced configuration drift, and a leaner data model. Technologies/skills demonstrated include DAO pattern harmonization, memory-vs-SQL parity, refactoring for reusability, and code cleanliness.
5 Commits • 2 Features
Jun 1, 2026June 2026 monthly summary for softwareconstruction240/autograder: Delivered features to centralize rubric configuration across DAOs and cleaned the codebase for maintainability. Fixed a key bug to ensure parity between in-memory and SQL rubric configuration behavior. Result: more reliable rubric processing across phases, reduced configuration drift, and a leaner data model. Technologies/skills demonstrated include DAO pattern harmonization, memory-vs-SQL parity, refactoring for reusability, and code cleanliness.
June 2026
May 2026
4 Commits • 2 Features
May 1, 2026May 2026 monthly summary for softwareconstruction240/autograder: Delivered robust improvements to grading tooling and Canvas integration, stabilizing core workflows and enhancing test coverage. Key outcomes include expanded grading test scope across all assignments, rubric ID/points integrity, and safer Canvas user retrieval with explicit CanvasException handling. Result: more reliable grading submissions, reduced risk of rubric misconfiguration, and improved developer confidence through refactoring and strengthened tests.
May 2026
4 Commits • 2 Features
May 1, 2026May 2026 monthly summary for softwareconstruction240/autograder: Delivered robust improvements to grading tooling and Canvas integration, stabilizing core workflows and enhancing test coverage. Key outcomes include expanded grading test scope across all assignments, rubric ID/points integrity, and safer Canvas user retrieval with explicit CanvasException handling. Result: more reliable grading submissions, reduced risk of rubric misconfiguration, and improved developer confidence through refactoring and strengthened tests.
Activity
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Quality Metrics
Correctness97.8%
Maintainability88.8%
Architecture88.8%
Performance88.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
JavaJavaScriptSQL
Technical Skills
Code CleanupDAO designJavaMavenNode.jsSoftware MaintenanceVue.jsback end developmentbackend developmentdata access object (DAO) patternfull stack developmentsoftware testingunit testing
Repositories Contributed To
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