WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Conference Object
    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++.
  • Conference Object
    A Unique Web 3 Product-NFT Usage in Healthcare
    (IEEE, 2025) Unozkan, Huseyin
    Non-fungible tokens (NFTs) have gained immense popularity and value in recent years. After the Web 3 revolution, many new products have been constructed based on smart contracts or powerful software agreements. One of the most exciting products of Web 3 is NFT, with their increasing popularity, high volatility, and significant price movements making them popular in trading activities. Although many people, investors and researchers perceive NFTs as a trading product, the smart contract and metadata, both of which make up of NFT structure, offer valuable support for the big data storage and processing fields. In recent years, researchers have proposed different uses of NFTs in healthcare systems to improve the quality of services by using NFTs' versatile data storage architecture. In this study, the capability of NFTs in the storage of health data is investigated, the usage and usage proposals of NFTs in health are examined, and probable usage areas in health sciences are evaluated. The uniqueness of this study is, using NFTs as the dead parental data storage in which the metadata does not need to be mitigated, but the stored data is very valuable for doctors to assess the genetic illnesses comes from parental DNAs.