📗 The Code Smells Catalog

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.

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

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

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

A tool to analyze project files for software antipatterns.

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.

Clean CaDET

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.

An Eclipse plugin aims to collect code smells from Java projects using only command lines.

Code Smell Detection Source Code