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---
license: mit
datasets:
- bug-localization/BeetleBox
- princeton-nlp/SWE-bench
language:
- en
base_model:
- codesage/codesage-base
tags:
- bug
- localization
- embedding
- multi-language
---
# 🔥 BLAZE: Cross-Language and Cross-Project Bug Localization
**BLAZE** is a transformer-based bug localization model that works across languages and software projects. It enhances source-bug alignment using **dynamic chunking** and **hard example learning**, enabling precise bug localization in unseen codebases and programming languages.
[](https://doi.org/10.1109/TSE.2025.3579574)
[](https://zenodo.org/records/15122980)
---
## ✨ Highlights
* 📌 **Cross-project & cross-language** bug localization with no re-training
* 📏 **Dynamic Chunking** handles long files within LLM context windows
* 🧠 **Hard Example Learning** improves generalization and ranking accuracy
* 🌍 Supports Java, Python, C++, JavaScript, and Go
* 📊 Outperforms both cross-project and embedding-based baselines
---
## 📂 Dataset: BeetleBox
**BeetleBox** is the largest curated dataset for bug localization:
* 23,782 real-world bugs
* 29 repositories
* 5 programming languages
* Cleaned and de-duplicated to remove overlaps with training data
📥 [Available on Zenodo](https://zenodo.org/records/15122980)
📚 Also listed on Hugging Face Datasets: `bug-localization/BeetleBox`
---
## 🚀 Demo & Usage
All code, usage instructions, model files, and scripts are available via:
👉 **[BLAZE Repository & Demo (Zenodo)](https://zenodo.org/records/15122980)**
---
## 📝 Citation
Please cite the following paper if you use BLAZE or BeetleBox in your work:
```bibtex
@article{Chakraborty2025,
title = {BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning},
ISSN = {2326-3881},
url = {http://dx.doi.org/10.1109/TSE.2025.3579574},
DOI = {10.1109/TSE.2025.3579574},
journal = {IEEE Transactions on Software Engineering},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
author = {Chakraborty, Partha and Alfadel, Mahmoud and Nagappan, Meiyappan},
year = {2025},
pages = {1--14}
}
``` |