Method to Automate Test Requirements to Reports Using GenAI

This whitepaper presents a method to automate the process of generating test cases from test requirements using Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). The document outlines the challenges faced in the Software Development Lifecycle (SDLC) and Software Testing Lifecycle (STLC) regarding the manual creation of test cases from requirements, which can be time-consuming and inefficient. It proposes a solution utilizing Retrieval-Augmented Generation (RAG) techniques to streamline the conversion of requirements into detailed test cases. The solution allows users to input various formats of requirement documents and generates test cases suitable for execution in different test automation frameworks. The paper details the architecture of the proposed system, including modules for input processing, RAG, GenAI, and execution/reporting. Additionally, it discusses the integration of the solution with existing test automation frameworks, emphasizing its potential to enhance efficiency and reduce manual effort in test case generation.