İktisadi ve İdari Bilimler Fakültesi / Faculty of Economics and Administrative Sciences

Permanent URI for this collectionhttps://hdl.handle.net/11727/1399

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AI Pair Programming Acceptance: A Value-Based Approach with AHP Analysis
(2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES, 2024) Caldag, Murat Tahir
The emergence of Artificial Intelligence ( AI) tools is transforming every aspect of life with new opportunities and risks. An impact of AI tools can be seen in AI pair programming which is defined as a generative and creative support tool with real-time interaction. The goal of this study is to explore the AI pair programming acceptance. To identify, describe, categorize, and rank the factors affecting the acceptance of AI pairs a literature review, a research model proposal based on an extension of the Value-based Adoption Model (VAM) framework, and an Analytic Hierarchy Process (AHP) analysis is conducted. The proposed model consists of six main factors and twenty-two sub-factors which are validated with an AHP analysis including eleven experts' judgments. The findings presented the most essential factors as productivity, code accuracy, complexity, personal development, and innovativeness. The least significant factors were inspiration, motivation, intellectual property violation, AI interaction, and trust. This study provides insight to AI tool developers and producers in the context of programming on the key factors to consider for success.
Comparing Software Development Life Cycle Models with Multi-criteria Decision Making Approach
(2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES, 2024) Alkis-Bayhan, Nurcan; Ozmen, Esra; Karaman, Ersin
Various software development life cycle models are adopted in the software domain. The selection of appropriate models is the main concern of this research since many factors affect the selection of these models. Characteristics of models, their advantages and disadvantages, in which projects they will be used, and how important the characteristics of the models have been studied in numerous research. In the scope of this research, first, the most preferred software life cycle development models, their features, and the factors that affect their selection were determined. Second, the study aims to compare the influential factors in selecting these models to determine the critical factors and rank them according to their importance level. An Analytical Hierarchy Process study was adopted and performed to achieve this comparison. Lastly, each software life cycle development model was compared to each other, and the important models were revealed in terms of each factor. According to the research results, the most critical factor in the model selection was "Project size."