Bağlum, CemYayan, Uǧur2025-10-102025-10-102025979833156655510.1109/SIU66497.2025.111122972-s2.0-105015371823https://doi.org/10.1109/SIU66497.2025.11112297https://hdl.handle.net/20.500.14627/1196Isik UniversityOne of the most critical steps in the software testing lifecycle, test scenario generation, reduces process efficiency due to its high time and resource requirements. As an innovative solution to this issue, the Smart Test Scenario Tool (STS) has been developed. Smart Test Scenario Tool (STS) enhances contextual accuracy and automation in test scenario generation by analyzing documents in xlsx, py, cpp, txt, and docx formats using large language models. This approach minimizes time loss, and the risk of errors encountered in traditional manual testing processes while transforming test procedures into a context-driven and systematic framework, offering an innovative contribution to the literature. Strengthened with a Streamlit interface, MongoDB-supported database management, and Ollama integration, the system enables the test scenario generation process, a critical component of the software testing cycle, to be conducted more efficiently and reliably. The validity of the study was confirmed through two distinct projects, the first implemented in Python and the second in C++. © 2025 Elsevier B.V., All rights reserved.trinfo:eu-repo/semantics/closedAccessAI-Driven TestingLarge Language ModelsSoftware Test AutomationTest Scenario GenerationComputer-Aided Software EngineeringLife CycleModel CheckingAI-Driven TestingCritical StepsGeneration ToolsLanguage ModelLarge Language ModelScenarios GenerationSoftware Test AutomationSoftware TestingTest ScenarioTest Scenario GenerationIntegration TestingConference Object