ETADUOVIE AKPEVWE VICTOR

Effective software development relies on maintaining high code quality to ensure the reliability and maintainability of the codebase. This project aims to enhance JavaScript code quality using Codacy, an automated code analysis tool, by analyzing and correcting code issues. The primary objectives are to evaluate the effectiveness of Codacy in identifying code quality issues, improving code maintainability, enhancing test coverage, reducing code duplication, and addressing security vulnerabilities. The research methodology involves selecting JavaScript projects, analyzing their code quality using Codacy, and comparing the results with manual analysis. Additionally, code coverage and security vulnerabilities will be assessed to gain a comprehensive understanding of code quality. The project's outcomes are expected to reveal insights into the impact of Codacy on JavaScript code quality, providing valuable recommendations for software development teams. This study contributes to the field of software engineering by offering empirical evidence of the effectiveness of Codacy and the significance of automated code analysis tools in improving code quality. The findings are anticipated to guide developers and organizations in adopting tools and practices that enhance JavaScript code quality, ultimately leading to more reliable and maintainable software systems.