---
annotations_creators:
  - expert-generated
language:
  - en
license: cc-by-4.0
pretty_name: Cross-Project Defect Prediction (CPDP) Dataset — C & Java Projects
size_categories:
  - 1M<n<10M
source_datasets:
  - original
tags:
  - source-code
  - software-engineering
  - defect-prediction
  - transfer-learning
  - static-analysis
  - c-language
  - java
task_categories:
  - tabular-classification
task_ids:
  - multi-class-classification
---



# 🧩 Cross-Project Defect Prediction (CPDP) Dataset — C & Java Projects

This repository hosts a **custom dataset** for **Cross-Project Defect Prediction (CPDP)** research, curated from a diverse collection of real-world open-source projects written in **C (441 projects)** and **Java (98 projects)**.  
The dataset aims to support research on **software defect prediction, transfer learning**, and **imbalanced data handling** across heterogeneous programming environments.

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## 📘 Overview

| Language | #Projects | Description |
|-----------|------------|-------------|
| **C** | 441 | Includes diverse open-source repositories from various domains |
| **Java** | 98 | Covers projects from academic domains collected from GitHub and other public repositories |

Each project folder typically includes:
- Source code files (`.c`, `.h`, `.java`)
- Bug/defect labels (where available)
- Metadata (e.g., LOC, complexity, commits)
- Preprocessed CSV feature files for ML models

---

## 🎯 Purpose

The dataset is designed for:
- **Cross-Project Defect Prediction (CPDP)**
- **Transfer Learning** and **Domain Adaptation** studies
- **Feature engineering** on static code metrics
- **Benchmarking** new software defect prediction models

---

## 🧠 Suggested Research Directions

- Comparison of **within-project vs cross-project** prediction accuracy  
- Study of **language heterogeneity** in CPDP (C ↔ Java transfer)  
- Use of **oversampling** or **class balancing** methods (e.g., SMOTE, OTOMO)  
- Integration with **Bayesian Networks**, **Deep Learning**, or **Tensor-based** models