dstl/Stone-Soup
May 2026 – May 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
CI/CDDocumentationPython DevelopmentTestingalgorithm developmentdata analysis
Benedict Oakes
PROFILE
Benedict Oakes
Worked on the dstl/Stone-Soup repository to deliver an end-to-end CI/CD and documentation pipeline, focusing on improving release velocity and maintainability. Implemented a CircleCI-based workflow supporting multi-version Python testing, code coverage integration, and linting, while establishing automated artifact storage and documentation builds. Enhanced the robustness and accuracy of StateVector handling within the CartesianToElevationRateBearingRateRangeRate class by expanding test coverage and refining algorithmic processing. Leveraged Python and YAML to streamline testing and documentation processes, ensuring reproducible builds and alignment with the upstream main branch. The work emphasized CI/CD, documentation, and algorithm development, contributing to more reliable downstream releases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
142,584
Activity Months1
Your Network
37 peopleWork History
May 2026
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for dstl/Stone-Soup: Delivered end-to-end CI/CD and documentation pipeline and improved StateVector handling with expanded test coverage; established workflows for artifact storage and documentation builds. No major bugs fixed during the period. The work enhances release velocity, reliability, and maintainability for downstream users.
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for dstl/Stone-Soup: Delivered end-to-end CI/CD and documentation pipeline and improved StateVector handling with expanded test coverage; established workflows for artifact storage and documentation builds. No major bugs fixed during the period. The work enhances release velocity, reliability, and maintainability for downstream users.
May 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CI/CDDocumentationPython DevelopmentTestingalgorithm developmentdata analysismathematicsmodelingtesting
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