The Opticode: A User-Centric Tool for Enhancing Software Efficiency and Minimizing Errors Through Dead Code Elimination and Loop Invariant Code Motion Techniques

Introduction: This article introduces OptiCode, a complex software tool that uses loop invariant code mobility and dead code reduction, among other advanced code optimization techniques, to improve code efficiency and decrease compile time. Using Loop Invariant Code Motion (LICM) and Abstract Syntax Trees (ASTs) for precise code analysis, OptiCode efficiently detects and eliminates redundant code, as well as optimizes loop structures by removing 4.87% of dead code with an efficiency of 5.38. OptiCode outperforms other apps in comparison, as seen by the considerable compile time savings and excellent efficiency ratings that it achieves. Objectives: To remove the unused code and elements affecting the efficacy of the code. Methods: Source code is passed as an input then the lexer performs the tokenization. Tokenized words are processed by the parser to assess the syntax of the code. Customized Abstract Syntax Tree removes the dead code, and the data is passed to Customized Loop invariant code Motion which optimize the looping structure in the code. At last, the optimized code is generated. Results: OptiCode outperformed Taskapp (3.89), Agilla (3.67), and Rfmtoleds (3.45) with its greatest efficiency rating of 5.38 on a 10-point scale in our comparison research. The 731 lines of code in the OptiCode codebase include 150 lines of dead code and 57 variables that aren't used Conclusions: The code is optimized to save space and time. Performance increases as number of lines increases.

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-12-18
DOI
https://doi.org/10.52783/cana.v32.2860
Primary Topic
Parallel Computing and Optimization Techniques
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article
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article

The Opticode: A User-Centric Tool for Enhancing Software Efficiency and Minimizing Errors Through Dead Code Elimination and Loop Invariant Code Motion Techniques

Tulshihar Patil
Communications on Applied Nonlinear Analysis
Parallel Computing and Optimization Techniques
article

The Opticode: A User-Centric Tool for Enhancing Software Efficiency and Minimizing Errors Through Dead Code Elimination and Loop Invariant Code Motion Techniques

Tulshihar Patil
article en

Abstract

Introduction: This article introduces OptiCode, a complex software tool that uses loop invariant code mobility and dead code reduction, among other advanced code optimization techniques, to improve code efficiency and decrease compile time. Using Loop Invariant Code Motion (LICM) and Abstract Syntax Trees (ASTs) for precise code analysis, OptiCode efficiently detects and eliminates redundant code, as well as optimizes loop structures by removing 4.87% of dead code with an efficiency of 5.38. OptiCode outperforms other apps in comparison, as seen by the considerable compile time savings and excellent efficiency ratings that it achieves. Objectives: To remove the unused code and elements affecting the efficacy of the code. Methods: Source code is passed as an input then the lexer performs the tokenization. Tokenized words are processed by the parser to assess the syntax of the code. Customized Abstract Syntax Tree removes the dead code, and the data is passed to Customized Loop invariant code Motion which optimize the looping structure in the code. At last, the optimized code is generated. Results: OptiCode outperformed Taskapp (3.89), Agilla (3.67), and Rfmtoleds (3.45) with its greatest efficiency rating of 5.38 on a 10-point scale in our comparison research. The 731 lines of code in the OptiCode codebase include 150 lines of dead code and 57 variables that aren't used Conclusions: The code is optimized to save space and time. Performance increases as number of lines increases.

Communications on Applied Nonlinear AnalysisVol. 32(4s)
Openalex Percentile: Top 71%
Parallel Computing and Optimization Techniques
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The Opticode: A User-Centric Tool for Enhancing Software Efficiency and Minimizing Errors Through Dead Code Elimination and Loop Invariant Code Motion Techniques — Tulshihar Patil · Communications on Applied Nonlinear Analysis (2024) | TGRS Research Map | TGRS