UCL-CCS/EasyVVUQ
Dec 2024 – Jan 2025
2 Months active
Languages Used
Python
Technical Skills
Code RefactoringSoftware DevelopmentTestingUncertainty QuantificationError HandlingPython Scripting
Jon McCullough
PROFILE
Jon Mccullough
Contributed to the UCL-CCS/EasyVVUQ repository by enhancing Monte Carlo sampler support for DiscreteUniform distributions, ensuring sampled values were correctly cast to integers and expanding test coverage for mixed continuous and discrete cases. Applied Python scripting and unit testing to refactor campaign setup in sparse SC tests, streamlining execution and clarifying result processing. Introduced robust error handling in the SCAnalysis workflow to address unrecognized Sobol Index types, preventing uninitialized variable errors and improving analysis reliability. Maintained clear commit documentation and focused on code maintainability, leveraging skills in software development, code refactoring, and uncertainty quantification to strengthen the codebase’s robustness.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
1
Lines of code
107
Activity Months2
Your Network
49 peopleWork History
January 2025
2 Commits
Jan 1, 2025January 2025 performance summary for UCL-CCS/EasyVVUQ: Focused on stabilizing the test suite and hardening the analysis module. Implemented targeted refactor in sparse SC tests and added defensive error handling to the SCAnalysis workflow, yielding clearer test outcomes and more robust execution.
2 Commits
Jan 1, 2025January 2025 performance summary for UCL-CCS/EasyVVUQ: Focused on stabilizing the test suite and hardening the analysis module. Implemented targeted refactor in sparse SC tests and added defensive error handling to the SCAnalysis workflow, yielding clearer test outcomes and more robust execution.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for UCL-CCS/EasyVVUQ. Focused on Monte Carlo sampler improvements and test coverage. Key feature delivered: improved MC sampler support for DiscreteUniform by casting sampled values to integers and adding comprehensive tests for mixed continuous and discrete distributions; removed outdated test superseded by new coverage. Commit activity included removing an outdated discrete-uniform test ("Remove sc discrete uniform test - resolved with 402 and checked in another test") via 92ef364281dfa39056b031804ef5ab648aa81c2d, and edits to mc_sampler to reflect SC/PCE capability for DiscreteUniform distribution (commit 1944d15165100205ba3fcb62351e4769abf3cbf2). These changes were implemented in the UCL-CCS/EasyVVUQ repository.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for UCL-CCS/EasyVVUQ. Focused on Monte Carlo sampler improvements and test coverage. Key feature delivered: improved MC sampler support for DiscreteUniform by casting sampled values to integers and adding comprehensive tests for mixed continuous and discrete distributions; removed outdated test superseded by new coverage. Commit activity included removing an outdated discrete-uniform test ("Remove sc discrete uniform test - resolved with 402 and checked in another test") via 92ef364281dfa39056b031804ef5ab648aa81c2d, and edits to mc_sampler to reflect SC/PCE capability for DiscreteUniform distribution (commit 1944d15165100205ba3fcb62351e4769abf3cbf2). These changes were implemented in the UCL-CCS/EasyVVUQ repository.
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture80.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringError HandlingPython ScriptingSoftware DevelopmentSoftware TestingTestingUncertainty QuantificationUnit Testing
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