On the Coupling between Vulnerabilities and LLM-generated Mutants: A Study on Vul4J dataset, The 17th IEEE International Conference on Software Testing, Verification and Validation (ICST 2024)

API service that support a MVP project to helps people affected by economic crysis from COVID-19

Simple blog API using NodeJS, Express, PostgreSQL

develop a game like Tom Clancy's The Division by using Unity

A web-based signal flow graph solver built using angular and spring boot frameworks.

This project creates a dynamic hoverboard effect using HTML, CSS, and JavaScript. When the user hovers over squares in the grid, the squares change color and produce a glowing effect.

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Config files for my GitHub profile.

;-)

Automated phishing attacks against WiFi networks

Questões das listas de algoritmos de 2023.1

A security bot that integrates with your codebase to perform Static Application Security Testing (SAST) on every push, generate actionable insights, and automate pull request resolutions.

Use OCR, Object Recognition, Audio Recognition, and Machine Translation to understand foreign news

Management of CQL stress tests with cassandra-stress tool

Visual Studio Code

This is about article management system

Site with 3D graphics and animations to bring your assets to life.

Examples of learning on various programming topics with various technologies

AI MultiMedia Transcriber is a powerful subtitle generator that uses AI voice recognition models.

This project is a web application built with React.js and Material-UI for visualizing cryptocurrency data using the CryptoCompare API. It offers real-time price visualization, interactive historica…

An application using AI to help find personalized Films based on searches

Springboot_React.js_Openvidu_Y.js

This Spotify clone app is designed following the BLoC architecture and adheres to Clean Architecture and the MVVM (Model-View-ViewModel) pattern.

JavaScript / TypeScript Monorepo Setup with PNPM Workspaces, Vite and TailwindCSS

C/Fortran OpenMP Parallel N-Body Simulation

Learning from what we know: How to perform vulnerability prediction using noisy historical data, Empirical Software Engineering (EMSE)