Automating Test Case Generation from Class Diagram Using Generative AI

In the realm of software engineering, the automation of test case generation represents a significant advancement towards improving efficiency and reliability. This paper introduces a novel approach to automate the generation of test cases from class diagrams using generative artificial intelligence (AI). By extracting class and attribute information from the XML representation of class diagrams, we can formulate structured prompts that are then fed into a generative AI model. The model is designed to interpret these prompts and produce comprehensive test cases corresponding to each class. Our methodology not only streamlines the test case creation process but also leverages the advanced capabilities of AI to ensure thorough coverage and accuracy. The implications of this approach extend to enhancing the quality assurance phase of software development, thereby contributing to the development of robust and error-resistant software systems.