ExSmell-Train

Table of Contents

• Introduction
• Design-related smells
  • GenServer Envy
  • Agent Obsession
  • Unsupervised process
  • Large messages
  • Unrelated multi-clause function
  • Complex extractions in clauses
  • Using exceptions for control-flow
  • Untested polymorphic behaviors
  • Code organization by process
  • Large code generation by macros
  • Data manipulation by migration
  • Using App Configuration for libraries
  • Compile-time global configuration
  • "Use" instead of "import"
• Low-level concerns smells
  • Working with invalid data
  • Complex branching
  • Complex else clauses in with
  • Alternative return types
  • Accessing non-existent map/struct fields
  • Speculative Assumptions
  • Modules with identical names
  • Unnecessary macros
  • Dynamic atom creation
• Traditional code smells
• About
• Acknowledgments

Introduction

This repository is a database of Elixir code smell examples organized into different categories, such as Design-related Smells, Traditional Code Smells, and Low-level Concerns. Each code smell contains 10 examples designed to simulate realistic Elixir code scenarios.

The dataset was generated using ChatGPT-5.4 and validated by two Elixir experts to ensure the quality and relevance of the examples.

The main goal of this repository is to provide a structured dataset that can be used as a knowledge base for Retrieval-Augmented Generation (RAG) systems. These examples can help feed a Large Language Model (LLM) with relevant code smell patterns, supporting the automatic detection and analysis of code smells in Elixir projects.