su2code/SU2
Dec 2024 – Mar 2025
2 Months active
Languages Used
C++Python
Technical Skills
CFDDebuggingJacobian CalculationNumerical MethodsNumerical SimulationRegression Testing
emaberman
PROFILE
Emaberman
During their work on the su2code/SU2 repository, Emily Aberman focused on enhancing the reliability and numerical robustness of computational fluid dynamics simulations. She addressed critical bugs in the SA Jacobian calculations, implementing safeguards near zero and correcting derivative logic to prevent errors in turbulent-source computations. Using C++ and Python, she stabilized the regression test suite by normalizing floating-point values, improving test configuration precision, and ensuring consistent data formatting. Her efforts reduced flaky test outcomes and improved CI feedback, resulting in more trustworthy simulation results and easier maintenance. The work demonstrated strong debugging, numerical analysis, and test automation skills.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
8Total
Bugs
3
Commits
8
Features
0
Lines of code
290
Activity Months2
Your Network
28 people
Work History
March 2025
3 Commits
Mar 1, 2025March 2025 for su2code/SU2 focused on stabilizing the regression test suite by correcting data alignment and formatting across multiple tests (e.g., coolprop_transportModel, tutorial_trans_e387_sa). Three successive commits under CorrectRegressionTests improved test reliability, reduced flaky outcomes, and enhanced CI feedback. Result: more reliable validations, faster debugging, and stronger confidence in model changes. Technologies/skills: regression data normalization, Git-based version control, test suite maintenance, cross-test data consistency.
3 Commits
Mar 1, 2025March 2025 for su2code/SU2 focused on stabilizing the regression test suite by correcting data alignment and formatting across multiple tests (e.g., coolprop_transportModel, tutorial_trans_e387_sa). Three successive commits under CorrectRegressionTests improved test reliability, reduced flaky outcomes, and enhanced CI feedback. Result: more reliable validations, faster debugging, and stronger confidence in model changes. Technologies/skills: regression data normalization, Git-based version control, test suite maintenance, cross-test data consistency.
March 2025
December 2024
5 Commits
Dec 1, 2024December 2024 highlights for su2code/SU2: focused on numerical robustness and test reliability. Delivered critical fixes to the SA Jacobian by correcting dShat and derivative calculations, including safeguards near zero and preventing overwriting of temporary d_SB in turbulent-source calculations. Stabilized the regression test suite by correcting floating-point test_vals, fixing NACA0012 test configuration precision, and removing a trailing character to ensure proper parsing. These changes reduce the risk of incorrect SA-based results and eliminate flaky tests, enabling more trustworthy simulations and faster CI feedback.
December 2024
5 Commits
Dec 1, 2024December 2024 highlights for su2code/SU2: focused on numerical robustness and test reliability. Delivered critical fixes to the SA Jacobian by correcting dShat and derivative calculations, including safeguards near zero and preventing overwriting of temporary d_SB in turbulent-source calculations. Stabilized the regression test suite by correcting floating-point test_vals, fixing NACA0012 test configuration precision, and removing a trailing character to ensure proper parsing. These changes reduce the risk of incorrect SA-based results and eliminate flaky tests, enabling more trustworthy simulations and faster CI feedback.
Activity
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Quality Metrics
Correctness80.0%
Maintainability87.6%
Architecture77.6%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
CFDDebuggingJacobian CalculationNumerical AnalysisNumerical MethodsNumerical SimulationPython ScriptingRegression TestingSoftware DevelopmentTest AutomationTest Case ManagementTesting
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