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code-health-meter is a comprehensive tool designed to measure and monitor the health of a codebase (JavaScript/TypeScript). It provides a quantitative evaluation of your code's maintainability, complexity, and size using a variety of established software metrics.
Tool built as a semester project in Software Quality Engineering course, the tool generates test cases against the java script code and performs coverage testing and other testing, finally generating a results in a report.
GPTCodeQualitySharp is a C#/.NET code quality assessment lib/tool that leverages OpenAI or compatible text-completion models to analyze and score source code based on multiple conventions. It uses multiple pass-throughs to accurately identify areas with poor code quality. The project includes a demo application and is a work-in-progress.
The custom Roslyn analyzer provides warning messages for blocks of code with variable assignments, which doesn't have blank lines before and after itself.