Detect concurrency and memory bugs and possible panic locations in Rust projects
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Updated
May 27, 2025 - Rust
Detect concurrency and memory bugs and possible panic locations in Rust projects
A Tool for clone detection and bug detection in smart contracts
An automatic API misuse checker for C programs!
Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.
Bug detection and fixing using prompt engineering and fine-tuning with Llama 3 and a custom mutation-based dataset. Includes a user-friendly interface and performance evaluation metrics.
Bug detection and repair algorithm
Deep learning project to detect logic bugs in source code.
Deep learning-based bug detector for IntelliJ
基于大语言模型(LLM)和可解释 AI(XAI)的下一代代码质量与安全分析工具。支持对整个代码仓库和单个代码片段进行自动化静态分析(SAST),旨在发现隐藏的 Bug、安全漏洞(如 SQL 注入、XSS)、性能问题、代码异味和技术债。为您的 Pull Request 和日常开发提供智能、可解释的审查反馈。A next-gen code quality and security analysis tool, powered by Large Language Models (LLM) and enhanced with Explainable AI (XAI).
A graph based bug classifier using the dgl library and DeepBugs dataset
Python package to predict bugs using the complexity of code changes
An attempt at detecting SStuBs using a pre-trained transformer and repairing them with a seq2seq model.
Generate more realistic mutations with contextual mutants
This project uses Natural Language Processing (NLP) and Machine Learning techniques to analyze user reviews of top-selling games on the Steam platform. The goal is to detect bug-related reviews using keyword filtering, assess user sentiment (positive, neutral, negative), and group similar games using clustering methods.
A bug detector based on call graphs and invariant inference
The AI Developer's Assistant aims to enhance developer productivity by analyzing code snippets, identifying bugs, suggesting optimizations, generating unit tests, and debugging log files.
Machine Learning Project for Bug Detection in Python using traditional machine learning algorithms
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