A Mathematical Modeling Framework Opti-Blend for Integrated Code Analysis through Dead Code Elimination, Clone Detection, and Loop Optimization

Opti-Blend is an extensive framework for code analysis that includes many optimization approaches that including loop optimization, clone studies, and dead code reduction. It offers a cohesive methodology for improving code, tackling issues like disjointed optimization tools, needless manual labor, and constrained scalability. By eliminating unwanted code, increasing execution speed, and simplifying the development process with minor human involvement, the framework improves program scalability and efficiency. It progressively improves code quality using static analysis, control flow optimization, and Abstract Syntax Tree (AST) improvements. Specifically, it deletes unneeded code fragments to reduce resource utilization, finds and eliminates duplicate code segments to better maintainability, and discovers and moves invariant code outside loops to improve execution efficiency. Opti-Blend's potential to optimize vast and complicated code structures while preserving program integrity and performance is demonstrated through benchmarking on both hypothetical and real-world codebases. The results obtained demonstrate how the framework may streamline developers' processes and produce reliable, superior software optimization.

Authors

Publication Details

Journal
International Journal of Apllied Mathematics
Published
2025-10-02
DOI
https://doi.org/10.12732/ijam.v38i5.424
Primary Topic
Software Testing and Debugging Techniques
Type
article
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article

A Mathematical Modeling Framework Opti-Blend for Integrated Code Analysis through Dead Code Elimination, Clone Detection, and Loop Optimization

Tulshihar Patil
International Journal of Apllied Mathematics
Software Testing and Debugging Techniques
article

A Mathematical Modeling Framework Opti-Blend for Integrated Code Analysis through Dead Code Elimination, Clone Detection, and Loop Optimization

Tulshihar Patil
article en

Abstract

Opti-Blend is an extensive framework for code analysis that includes many optimization approaches that including loop optimization, clone studies, and dead code reduction. It offers a cohesive methodology for improving code, tackling issues like disjointed optimization tools, needless manual labor, and constrained scalability. By eliminating unwanted code, increasing execution speed, and simplifying the development process with minor human involvement, the framework improves program scalability and efficiency. It progressively improves code quality using static analysis, control flow optimization, and Abstract Syntax Tree (AST) improvements. Specifically, it deletes unneeded code fragments to reduce resource utilization, finds and eliminates duplicate code segments to better maintainability, and discovers and moves invariant code outside loops to improve execution efficiency. Opti-Blend's potential to optimize vast and complicated code structures while preserving program integrity and performance is demonstrated through benchmarking on both hypothetical and real-world codebases. The results obtained demonstrate how the framework may streamline developers' processes and produce reliable, superior software optimization.

International Journal of Apllied MathematicsVol. 38(5)
Openalex Percentile: Top 70%
Software Testing and Debugging Techniques
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A Mathematical Modeling Framework Opti-Blend for Integrated Code Analysis through Dead Code Elimination, Clone Detection, and Loop Optimization — Tulshihar Patil · International Journal of Apllied Mathematics (2025) | TGRS Research Map | TGRS