Intelligent Software Repository Support System

AI-assisted support for software repositories

Project Overview

This research initiative investigates the integration of state-of-the-art AI for Software Engineering research with software repositories. The project examines existing cutting-edge AI techniques, such as natural language processing, machine learning, and data mining, to enhance software repository management, analysis, and automation.

Impact and Applications

The project has the potential to significantly impact software development practices by enabling more effective use of AI in software repositories. By integrating AI research results with software repositories, the project aims to help software developers to enhance the quality, security, and maintainability of software systems.

Project Team Members

Arif Nurwidyantoro, Ph.D.

Students

  1. Andreas Notokusumo: Integrating End-to-end Good First Issue Recommender based on PFIRec Model to Github Open Source Repository (on going)
  2. David Lois: Integrating Fuzzing Techniques for REST API Quality Testing using Multi-Agent Reinforcement Learning dan Semantic Operation Dependency Graph to Github Repository (on going)