sogno-platform/dpsim
Jul 2025 – Jul 2025
1 Month active
Languages Used
BashCMakePythonYAML
Technical Skills
Build AutomationBuild System ConfigurationCI/CDCMakeCode CoverageTesting
Anas Bahr
PROFILE
Anas Bahr
Anas Bahr developed an end-to-end code coverage workflow for the sogno-platform/dpsim repository, focusing on automating coverage collection and reporting within the build and CI/CD processes. He introduced a CMake COVERAGE option to enable coverage flags for GCC and Clang, and updated the CI pipeline using YAML to integrate coverage reporting for Fedora. Leveraging Python and Bash, Anas incorporated pytest data, lcov, and Codecov uploads, providing comprehensive visibility of coverage metrics in CI dashboards and pull requests. This work streamlined quality assurance by surfacing coverage gaps early, reducing manual validation, and strengthening the project’s release readiness through automated feedback.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
47
Activity Months1
Your Network
66 peopleSame Organization
@rwth-aachen.de54
Shared Repositories
12
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 Summary — sogno-platform/dpsim: Implemented an end-to-end code coverage workflow in build and CI/CD, enabling automated coverage collection for GCC/Clang, and reporting in Fedora CI with pytest data, lcov integration, and Codecov uploads. This work provides observable quality metrics, reduces manual coverage validation, and strengthens release readiness by surfacing coverage gaps early.
2 Commits • 1 Features
Jul 1, 2025July 2025 Summary — sogno-platform/dpsim: Implemented an end-to-end code coverage workflow in build and CI/CD, enabling automated coverage collection for GCC/Clang, and reporting in Fedora CI with pytest data, lcov integration, and Codecov uploads. This work provides observable quality metrics, reduces manual coverage validation, and strengthens release readiness by surfacing coverage gaps early.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashCMakePythonYAML
Technical Skills
Build AutomationBuild System ConfigurationCI/CDCMakeCode CoverageTesting
Repositories Contributed To
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