📗 The Code Smells Catalog

Technical debt and risk analyzer that predicts bug hotspots by combining cognitive complexity, pattern recognition, coverage gaps, information theory, and git history.

The goal of the project is to help learn heuristics that will help you write clean code. Use them for the benefit of the community.

A repository contains a bunch of code snippets to demonstrate code smells and the refactored clean code written in JavaScript

Proyecto para detectar Code Smells en Bython utilizando ANTLR4, con un sistema modular para la creación y ejecución de sniffers de código.

Tips for a clean code and SOLID architecture

This project investigates code smells and proposes potential enhancements to an implementation of minesweeper.

This project is made by following Test-Driven-Development and performed Unit Testing (86 % coverage) and Integration Testing. Used Docker for managing entire application and implemented CI/CD for different stages like build, test, quality, publish, deployed on VM instance provided by University. Followed SOLID principles and removed Code Smells.

Aim of this research is to identify code smells in the Python dataset by combining sophisticated data resampling techniques with ensemble learning approaches. We looked into the most effective ensemble learning techniques for identifying smells in the Python code. Next, we enhance the performance of conventional machine learning models.

Experimental code for the Smelligent study on detecting inline code comment smells.

ECE750-w2025 (Software Mining): Assignment 2 - Detecting Exception Handling Antipatterns

Detects if a .py file has methods/parameters that are too verbose or any duplicated code

Projects and TPs developed at Software Desgin and Testing Laboratory at FEUP in 2021/2022

Code Smell Detection Source Code

Clean CaDET