Code-BERT-Powered Static Analysis: An Opti-Blend Multi-Technique Approach for Dead Code Elimination, Clone Detection, and Loop Invariant Enhancement

Abstract

Opti-Blend is a unified model designed to enhance code maintainability and performance through a multi-faceted approach to optimization. The framework integrates three primary techniques: dead code elimination to reduce resource consumption, code clone detection to remove redundancy, and loop invariant optimization to improve computational efficiency. These methods are implemented using advanced technical tools such as Abstract Syntax Trees (AST), static analysis, and control flow transformations. The model's effectiveness is rigorously benchmarked on both synthetic and real-world codebases. Empirical results are presented through graphical comparisons of key metrics, including memory usage, execution time, and function count, both before and after optimization. This research paper evaluates Opti-Blend’s methodology, real-world applicability, and its role in fostering the development of high-performance, scalable, and maintainable software.