Detect concurrency and memory bugs and possible panic locations in Rust projects

基于LLM的智能SAST工具，支持10+主流AI模型（GPT/Claude/Gemini/通义千问/DeepSeek/Ollama本地模型）。自动检测安全漏洞、性能问题、代码异味。支持GitHub/GitLab集成、CI/CD自动化、10+编程语言。React+TypeScript | Intelligent SAST tool powered by LLM, supports 10+ AI models, detects vulnerabilities, performance issues, code smells.

A Tool for clone detection and bug detection in smart contracts

An automatic API misuse checker for C programs!

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.

Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.

Bug detection and repair algorithm

Deep learning project to detect logic bugs in source code.

Bug detectors for Golang

Deep learning-based bug detector for IntelliJ

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

A bug detector based on call graphs and invariant inference

Machine Learning Project for Bug Detection in Python using traditional machine learning algorithms

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.

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.