Harnessing Generative AI in Software Testing: A Real-World Guide

The advent of Generative AI (GenAI), including Large Language Models (LLMs) and tools like ChatGPT, is not just another technological shift—it's a paradigm change, particularly in the realm of software testing. Unlike the transitions to mobile or cloud computing, GenAI introduces both unparalleled utility and disruption in software quality assurance. This session is dedicated to demystifying GenAI in software testing, distinguishing hype from reality, and providing practical tools and techniques to enhance your team's software quality while also highlighting potential pitfalls and unproductive approaches. This tutorial moves beyond the typical conversations around GenAI in software testing, which often revolve around optimistic projections, basic experimentation with ChatGPT prompts, and marketing rhetoric. It is an interactive journey showcasing real-world applications, demonstrating how GenAI can be effectively integrated into software testing processes. You are encouraged to bring your questions and share your experiences, as the session will delve into the rapidly evolving state of GenAI in testing, with a balanced view of its strengths, limitations, and prospective future.

This workshop is tailored for testers, engineers, and managers who are optimistic yet cautious about the role of GenAI in elevating software testing and quality and interested in practical applications to their own processes and technology today. Whether you're actively integrating GenAI into your testing processes or just starting to explore its possibilities, this session will provide valuable insights and practical knowledge you can apply in your own team today

Pre-Requirement: To maximize the benefits of this workshop, participants should have access to ChatGPT4 (or an equivalent system), enabling hands-on experience and a better understanding of the concepts discussed.