
Alessio Lombardi refactored the NumericalApproximation logic in the BHoM_Engine repository to standardize rounding behavior using the Query.Round method. By replacing the previous approach with tolerance-based rounding, he improved the consistency and reliability of numerical results across simulations. This change addressed discrepancies caused by inconsistent rounding, making the numerical components more predictable and easier to maintain. Working primarily in C#, Alessio applied software engineering and refactoring skills to enhance code quality and traceability. The update did not involve bug fixes but focused on feature development, resulting in more robust analytics and streamlined maintainability for the BHoM_Engine’s numerical methods.

2024-11 Monthly Summary for BHoM_Engine: Key feature delivered: Standardized rounding in NumericalApproximation by switching to Query.Round to ensure tolerance-based, consistent rounding across the numerical approximation logic. Commit reference: bfb872a50ca86f222a50c0c10b4a8faba7c372e9 (Diffing NumericalApproximation to use Query.Round). Major bugs fixed: None reported this month; focus was on feature refactor and standardization. Overall impact and accomplishments: Improves reliability of numerical results, reduces rounding-derived discrepancies in simulations, and enhances maintainability for numerical components. Technologies/skills demonstrated: C#, refactoring, numerical methods, tolerance-based decision logic, code quality and traceability through commit history.
2024-11 Monthly Summary for BHoM_Engine: Key feature delivered: Standardized rounding in NumericalApproximation by switching to Query.Round to ensure tolerance-based, consistent rounding across the numerical approximation logic. Commit reference: bfb872a50ca86f222a50c0c10b4a8faba7c372e9 (Diffing NumericalApproximation to use Query.Round). Major bugs fixed: None reported this month; focus was on feature refactor and standardization. Overall impact and accomplishments: Improves reliability of numerical results, reduces rounding-derived discrepancies in simulations, and enhances maintainability for numerical components. Technologies/skills demonstrated: C#, refactoring, numerical methods, tolerance-based decision logic, code quality and traceability through commit history.
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