Chain-Fox: An all-in-one platform with automatic security detection ability for blockchains and smart contracts

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 repair algorithm

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.

Deep learning project to detect logic bugs in source code.

Deep learning-based bug detector for IntelliJ

Bug detectors for Golang

A graph based bug classifier using the dgl library and DeepBugs dataset

Python package to predict bugs using the complexity of code changes

Generate more realistic mutations with contextual mutants

An attempt at detecting SStuBs using a pre-trained transformer and repairing them with a seq2seq model.

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

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.

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.

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.