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Tutorial J

Testus Patronus: No Magic, Just AI with Your Company Context

Paula Bassagañas

13:30-17:00 CEST, Tuesday 3rd June

Did you ever wish you could ask ChatGPT about your product requirements, past test cases, or technical documentation? Join this hands-on session to learn how to build an AI using Retrieval-Augmented Generation that understands your product or organization’s context. I’ll guide you step by step, from the theory to the actual development, so you can customize your own AI helper for your daily work.

This tutorial dives into how Retrieval-Augmented Generation (RAG), an innovative AI framework, can significantly improve software testing. RAG combines the strengths of information retrieval with AI-generated content, making it a powerful tool for generating test cases closely aligned with product requirements.

Participants will work with a pre-configured RAG model, learning to implement key components, fine-tune the model, and ingest product requirements, test cases, technical information, and more to support their daily tasks. This interactive session will empower attendees to experiment with the RAG model’s output, gaining hands-on experience in adjusting settings to enhance accuracy and relevance.

By the end of the session, participants will have a comprehensive understanding of how to use and customize RAG to optimize their testing workflows. They will learn how to develop and deploy a solution that provides valuable context, detailing how the System Under Test (SUT) should operate, identifying existing test cases, and outlining the technical aspects of the product.