Master Degree / Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/11147/3008

Browse

Filters

2022 - 20243

Settings

Author: search.filters.author.Demirörs, OnurScopus Q: search.filters.scopusQuartile.N/A

Search Results

Now showing 1 - 3 of 3
  • Master Thesis
    Predicting Software Size From Requirements Written in Natural Language: a Generative Ai Approach
    (01. Izmir Institute of Technology, 2024) Kennouche, Dhıa Eddıne; Demirörs, Onur
    In project management, software size measurement represents a critical process aimed at visualizing a project. This quantification is pursued independently of the specific technologies or technical decisions adopted during the project's development phase. Among the various methodologies employed for this purpose, the COSMIC Functional Size Measurement (FSM) and Event Points are used to facilitate such assessments. These methodologies are instrumental in offering a standardized approach for measuring software size, yet they inherently demand a considerable amount of manual effort. Furthermore, these methods require the manual extraction of Objects of Interest and Event Names, adding to the labor-intensive nature of the process. In response to these challenges, this thesis implements a suite of Artificial Intelligence (AI)-based methods that have dramatically transformed the measurement process. These innovative approaches encompass the creation of a Regression Model that predicts software sizes with remarkable accuracy, a Summarization Model that automates the extraction of Event Names, and a finely tuned Large Language Model (LLM) that generates Objects of Interest with a significant precision. The adoption of these AI-driven techniques has proven to be highly successful, substantially minimizing the manual effort traditionally required in software size measurement and thereby greatly enhancing both efficiency and reliability of estimation practices. Together, these AI-based methodologies represent a significant advancement in software size measurements, offering a more streamlined and efficient approach. By reducing the reliance on manual processes, these methods not only enhance the accuracy and reliability of measurements but also contribute to a more agile project management environment.
  • Master Thesis
    Modeling Microservice Based Applications: Model Lives Inside Code Approach
    (01. Izmir Institute of Technology, 2024) Ersoy, Eyüp Fatih; Demirörs, Onur
    In today's software development, maintaining consistent documentation is crucial for sharing and preserving team knowledge. As projects grow more complex, developers need to quickly understand and maintain code. However, keeping documentation aligned with business logic without unnecessary technical details is challenging. Traditional visualization tools like UML, sequence, and activity diagrams focus on object-oriented approaches and often require manual updates, making them less suitable for event-based systems like microservices. To address these issues, the tool Docupyt was developed using eEPC (Extended Event Process Chains) as the main modeling approach. Docupyt is designed with three key principles: ease of use, simplicity (including only necessary logic), and reactivity (representing event-based systems). eEPC notation helps analyze problems and represent changing logic during development, accommodating fast-changing requirements. It supports both high and low-level process definitions and focuses on business logic without extraneous technical details. Generated directly from code through simple commenting, this approach simplifies updating documentation as the code changes, reducing maintenance costs. Using the design science research method, Docupyt was validated in a case study, demonstrating it is user-friendly and provides adequate detail without being overly technical. Its main advantage is keeping documentation in sync with code logic, easing updates.
  • Master Thesis
    Blockchain Based Context Aware Access Control Structure Implementation for Security of Internet of Things System
    (01. Izmir Institute of Technology, 2022) Kul, Aslı; Demirörs, Onur; Erten, Yusuf Murat
    Nowadays, Internet of Things (IoT) devices, which have started to be included in our lives with the developing technology, are one of the popular working topics. While they are a means of transporting many important data in terms of usage areas, IoT devices have brought security concerns due to their being a new technology and technical limitations. The use of standard access control algorithms is insufficient for IoT environments due to their complexity and dynamism. In this study, considering the importance of sensitive critical data carried by IoT environments, Context Aware IoT Rule Based Access Control Algorithm, which is a proposed algorithm to ensure the security of interaction with IoT environments, is aimed to be integrated and used to create a reliable IoT environment by taking advantage of the security promising Blockchain technology. It is due to the use of distributed and cryptography methods that are widely used today.