Bağlum, Cem

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Profile URL
https://hdl.handle.net/20.500.14627/1230
Name Variants
Job Title
Arş. Gör. Uzm.
Email Address
cem.baglum@fbu.edu.tr
Main Affiliation
YÖNETİM BİLİŞİM SİSTEMLERİ BÖLÜMÜ
Status
Current Staff
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ORCID ID
0000-0001-9072-3664
Scopus Author ID
58503905300
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Google Scholar ID
fzdMi0oAAAAJ
WoS Researcher ID
NDT-2150-2025

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    Sts: AI-Driven Smart Test Scenario Generation Tool
    (IEEE, 2025) Baglum, Cem; Yayan, Ugur
    One 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++.