Project Summary
This undergraduate thesis project explores the application of AI techniques, particularly Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to automate the generation of API documentation and integration tests for microservices.
The project aims to develop a system that can analyze service code and automatically generate comprehensive documentation and effective integration tests, enhancing service reusability and developer productivity.
Project Proposal
For detailed information about the project's objectives, methodology, and expected results, please download the full proposal document.
Download ProposalContact Information
Student: Agnaldo Nunes de Oliveira
Advisors: Prof. Alfredo Goldman
MSc. João Francisco Lino Daniel
Institution: Institute Mathematics and Statistics of The University of São Paulo (IME-USP)