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🧩 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.

📘 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

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