Dataset for LLMCFG-TGen: Test Generation based on LLM-generated Control Flow Graphs

This dataset contains the original use-case descriptions used in our study on LLMCFG-TGen, an LLM-based framework for automatically generating test cases from use cases. The dataset consists of natural language use cases used to evaluate LLM-based approaches for generating test cases from software requirements. The dataset is provided to support research on requirements-based testing, automated test case generation, and the application of large language models in software engineering. It can be used as a reference dataset for evaluating and comparing approaches that generate test artifacts from natural language requirements. The corresponding evaluation code and experimental scripts are available in the associated GitHub repository (https://github.com/aimeenorwind/LLMCFG-TGen).