Eclipse 3.6 & Eclipse 3.7 Code Smells

NIAID Data Ecosystem2026-03-14 收录

代码异味检测

软件质量度量

数据链接：

https://data.mendeley.com/datasets/sdwdm3bd3f 数据链接链接失效反馈

官方服务：

资源简介：

The data contains the Metrics & CodeSmells data for Eclipse_3.6 (Metrics & CodeSmells) and Eclipse_3.7 (Metrics & CodeSmells)

创建时间：

2022-10-14

DACOS

代码异味检测

机器学习

DACOS是由达尔豪斯大学哈利法克斯分校创建的手动标注代码异味数据集，包含10,267个针对5,192个代码片段的标注。该数据集专注于三种代码异味：多面抽象、复杂方法和长参数列表，通过两阶段过程创建，首先识别潜在主观性的代码片段，然后收集这些片段的标注。DACOS旨在帮助研究人员构建与上下文相关的机器学习模型，以检测代码异味，解决代码异味检测中的主观性问题。

arXiv2023-03-16 更新710

HIST (Historical Information for Smell deTection) - Replication Package

代码异味检测

软件工程

Bad code smells are symptoms of poor design and implementation choices that may hinder code comprehensibility. While most of the detection techniques rely on structural information, many bad code smel

DataCite Commons2020-09-04 更新70

Results of Code Smell Detection

代码异味检测

代码质量分析

This excel sheet contains the data gathered during my master's thesis project. In this project I examined refused bequest and inappropriate intimacy code smells in Java and Python source code. The exc

Figshare2020-04-15 更新40

Emerging Insights on Context-Aware LLM-Generated Code SmellReview

代码异味检测

LLM大语言模型

This repository contains a dataset with manually classified data according to IHMU categories of LLM responses.

Figshare2025-05-24 更新100

replication package for Understanding the Code and Architectural Smells Generated by LLMs and Autonomous Agents

代码异味检测

AI生成代码质量评估

This is a replication package for the peer review of the paper 'Understanding the Code and Architectural Smells Generated by LLMs and Autonomous Agents'

Zenodo2026-03-27 更新40

Eclipse 3.6 & Eclipse 3.7 Code Smells

资源简介：

相关数据集