predicting the buggy source files from the bug reports.
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Updated
Jul 20, 2023 - Python
predicting the buggy source files from the bug reports.
Source code of the paper "Leveraging textual properties of bug reports to localize relevant source files."
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Simultaneous identification of multiple bugs. Course project for Data-driven Program Analysis (CS686).
The replication package for EMSE 2019 submission
The tool implementation of the thesis work of Masud Rahman
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
This project proposes an IR-based bug localization method, named BULNER, which stands for BUg Localization with word embeddings and Network Regularization.
IR-FL (Information Retrieval-Fault Locator) methods for ranking source files (query results) that may be relevant to a bug report (query).
A bug detector based on call graphs and invariant inference
Multimodal AI testing agent for Web apps: Qwen-VL screenshot/video analysis, DeepSeek review, bug localization, log/code analysis, and pytest/Playwright test generation.
Replication package of the paper 'Large Language Models for In-File Vulnerability Localization are "Lost in the End"' (https://doi.org/10.1145/3715758)
Ant-swarm bug localization: LLM ants score files against a bug report, deposit heat on a shared board, and produce a HOT/WARM/COLD heatmap via MCP.
Bug Localization Model in Source Code Using Ontologies
Agentic Bug Localization for FSE tutorial
Recovering traceability links between source code and bug reports
LOBUS-OWL: Modelo de localização de defeitos em código-fonte apoiado por ontologia
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