What question did this study set out to answer?

The aim is to create a system that enhances code quality and performance through automatic analysis and optimization.

May 1, 2026Open Access

CODEPULSE AI Intelligent Code Quality and Complexity Analyzer with Automated Optimization

GNGayathri N HSHarrini D S MTMeena Losini T

Key Points

The aim is to create a system that enhances code quality and performance through automatic analysis and optimization.
Developed a web-based platform using static code analysis techniques.
Computed time complexity using Big-O notation to evaluate code efficiency.
Implemented a sandbox environment for secure execution and output validation.
Successfully detected logical issues such as unused functions and missing output statements.
Automated optimization of inefficient code with comparative analysis of original and optimized versions.
Supported multiple programming languages including Python, Java, C, C++, Javascript, and GO.

Abstract

Code quality and performance play a crucial role in modern software development. This paper presents CODEPULSE AI, a web-based system designed to analyze source code, determine its computational complexity, detect logical issues, and provide optimized solutions. The system uses static code analysis techniques to compute exact time complexity using Big-O notation. It also identifies issues such as unused functions and missing output statements. Additionally, the platform includes a secure sandbox environment to execute test cases and validate outputs. A key feature of the system is its ability to automatically optimize inefficient code and provide a comparison between the original and optimized versions. This helps developers improve performance and understand algorithm efficiency. This also supports languages like Python, Java, C, C++, Javascript, GO.

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