---
title: Data Preparation for Code Smell Detection: A Literature Review
url: https://www.ml-quant.com/papers/ssrn/4693778/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4693778
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4693778
featured: 2024-01-17
citations: unknown
topic: ML & AI Methods
---


# Data Preparation for Code Smell Detection: A Literature Review

A Literature Review: The review examines data preparation techniques in deep learning-based code smell detection, suggesting ways to prepare high-quality data and emphasizing the need for data diversity, standardization, and accessibility.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4693778
- Identifier: SSRN 4693778
- Released: 2024-01-13
- First featured: Quant Letter No. 33 (2024-01-17): https://www.ml-quant.com/issues/2024-01-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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