2025-03-06 –, RoboCon Online
Our presentation showcases how generative AI models be used to automate creation of Robot Framework test scripts, transforming a traditionally manual and time consuming process. By using an AI model to interpret an API specs, we generate executable tests to cover functional and smoke test scenarios to improve quality with reduction in time.
In today’s fast-paced software development environment, test automation plays a critical role in ensuring product quality and accelerating release cycles. However, the manual creation and maintenance of test scripts remains a resource-intensive process. This presentation introduces a novel approach to RF test script generation using generative AI language models. We will share our journey about exploring how LLMs can be used to understand functional requirements, translate them into executable test scripts, and adapt to changes in real-time. Attendees will gain insights into the solution and its potential to significantly reduce development costs while improving testing efficiency. These demonstrations will highlight the practical applications and impact of this AI-driven innovation in real-world scenarios.
GenAI, Innovation
Describe your intended audience:Audience using Robot Framework for Test Automation
Is this suitable for ..?:Beginner RF User, Intermediate RF User
Appaji is a seasoned Test Automation Architect with over 2 decades of experience in developing automation strategies, tool selection, and implementation. A Robot Framework foundation board member of the Robot Framework Foundation, Appaji has been working with Robot Framework since 2010 and currently supports its adoption at the largest bank in Nordics. With expertise in leading test automation tools Appaji is passionate about staying ahead of trends and is currently exploring Generative AI for QA Use cases