Transforming Testing with Generative AI: A Demonstration

Are you looking to improve the efficiency and effectiveness of the agile testing process? Join and explore the future of agile testing with Generative AI. In agile software development, feature grooming, refinement, user story generation, acceptance testing, and test automation are all critical steps to ensure system quality. While these steps are critical to the project's success, they are not always handled effectively. They can be time-consuming and things like writing test cases and automation code can be labor-intensive and often fall short of covering all requirements. To address these challenges, Shanthi Karpurapu, in her role as a senior consultant at Coveros, developed a tool on top of a large language model (LLM). The objective of the tool is multi-faceted. First, it aims to ensure that the systems requirements are well defined, and second, it strives to test effectively and efficiently. This solution seamlessly integrates into the agile process by simplifying and enhancing testing. The tool automates the generation of user stories, test cases, and automation code, resulting in optimizing testing and enhancing requirement coverage. Join Shanthi as she shows, using real-time examples and insights, how the tool serves as a valuable guide for anyone seeking to leverage Generative AI to build tools and provide solutions to various challenges, If you are interested in using AI to help automate your testing practices, see firsthand what Shanthi was able to build and how this tool can work in your environment!