A framework for software metrics and code smells

repository offering a suite of software metrics tools

In this repo, we implemented some software metrics for Python

Calculates Abstractness and Instability Software Metrics for Spring Boot Applications

Library for counting the lines of code in PHP source code

Library for calculating the complexity of PHP code units

Calculate cyclomatic complexities of functions in Go source code.

Machine Learning Project for Bug Detection in Python using traditional machine learning algorithms

vscode-radon-linter is a Visual Studio Code extension for linting Python code using the Radon library. It automatically checks Python files for potential issues such as code complexity and maintainability, and displays them in the Problems tab.

This project is a concept restaurant automation system for Software Engineering (SE 216) term project

📈 StackOverflow trends

An Automated Metric-Based Quality Framework For EA Model Assessment

Software Static Analyzer is a python base tool to evaluate the evolution of software quality in the years, on the base of metrics value, presence of clones and other factor of static analysis of source code.

In this repository, you can find the dataset used in our research titled 'A First Look at the Usability of UML Complexity Metrics'.

This is a tool written in python that calculates software quality metrics and then technical debt. It is specifically aimed at OOP Python softwares.

Provides the jQAssistant dashboard for analyzing and visualizing software artifacts' data.

Static Code Analyzer (SCA) analyzes the ‘C’ source codes without executing the program. It determines the software metrics (such as LOC and Halstead Complexity metrics) and detect syntactic code clones.

An automated tools for generate software metrics from GitHub repository upon tags/releases

Open-source command line application that analyzes and reports on a variety of metrics on Haskell projects

Analysis of fault detection in source code using various static, dynamic, bug and test metrics