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
Developed and integrated 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. Leveraged CMake to introduce a coverage option, enabling code coverage flags for both GCC and Clang toolchains. Enhanced the CI pipeline using YAML configuration to collect coverage data with pytest, aggregate results via lcov, and automate uploads to Codecov for visibility in Fedora CI. This work provided actionable coverage metrics directly in dashboards and pull requests, streamlining quality assurance and enabling earlier detection of coverage gaps through automated, reproducible testing and reporting workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
47
Activity Months1
Your Network
69 peopleSame Organization
@rwth-aachen.de57
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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