There are 1 repository under bug-detection topic.
XCodeReviewer 是一款基于大语言模型(LLM)的智能审计工具,支持 GPT、Claude、Gemini、通义千问、DeepSeek、Ollama 等十余主流 AI 模型。它能够自动检测代码中的安全漏洞、性能问题和代码异味,显著提升代码质量与安全性。XCodeReviewer 支持 GitHub/GitLab 集成,可无缝嵌入 CI/CD 流程,实现自动化代码审查与持续安全保障,同时兼容十多种编程语言,满足多样化项目需求。
A Tool for clone detection and bug detection in smart contracts
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-based bug detector for IntelliJ
Deep learning project to detect logic bugs in source code.
Python package to predict bugs using the complexity of code changes
A graph based bug classifier using the dgl library and DeepBugs dataset
Generate more realistic mutations with contextual mutants
An attempt at detecting SStuBs using a pre-trained transformer and repairing them with a seq2seq model.
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
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.
The project aims to improve the quality of an open source software assigned by the teacher. Another important goal of the project is to improve skills in software management and project management in general.
A lightweight Blazor Server (SSR) solution that helps detect excessive re-renders (often referred to as render loops). Render loops can crash your app by exhausting server resources, especially in Blazor Server, where every connected client shares server memory.
BackFlow 🔄📊 – An IDE-powered tool that transforms source code into interactive flow diagrams. Analyze API execution paths, identify bottlenecks, track performance, detect bugs instantly, and visualize complex relationships with ease.
An AI-powered tool to detect and fix bugs across multiple languages via a web app and VS Code extension.