AGORA: An Approach for Generating Acceptance Test Cases from Use Cases

This paper introduces AGORA, an innovative approach that leverages Large Language Models to automate the definition of acceptance test cases from use cases. AGORA consists of two phases that exploit prompt engineering to 1) identify test cases for specific use cases and 2) generate detailed acceptance tests cases. AGORA was evaluated through a controlled experiment involving industry professionals, comparing the effectiveness and efficiency of the proposed approach with the manual method. The results showed that AGORA can generate acceptance test cases with a quality comparable to that obtained manually but improving the process efficiency by over 90% in a fraction of the time. Furthermore, user feedback indicated high satisfaction with using the proposed approach. These findings underscore the potential of AGORA as a tool to enhance the efficiency and quality of the software testing process.