BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Aug 2025Embargo end date: 01 Jan 2024Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Software Engineering, volume 51, pages 2,254-2,267 (issn: 0098-5589, eissn: 2326-3881,

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Authors: Partha Chakraborty; Mahmoud Alfadel; Meiyappan Nagappan;

doi: 10.1109/tse.2025.3579574 , 10.5281/zenodo.15122980 , 10.5281/zenodo.7897697 , 10.48550/arxiv.2407.17631

arXiv: 2407.17631

BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning

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Abstract

This package contains the material used in the manuscript. For more information on understanding the package structure, please read README.md.

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Keywords

Machine Learning, Software Engineering (cs.SE), FOS: Computer and information sciences, bug localization, Information Retrieval, Software Engineering, zero shot, Information Retrieval (cs.IR), bert, Machine Learning (cs.LG)

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