МЕТОДОЛОГІЇ УПРАВЛІННЯ ПРОЄКТАМИ В IT-ІНДУСТРІЇ

The information technology sector is characterized by rapid changes, high competition, and the need for constant adaptation to new market requirements. In such conditions, project management is an important component of successful product implementation, as it determines the quality of planning, teamwork organization, and control of deadlines and resources. Among the wide range of approaches used in the modern IT industry, the most common are Waterfall, Agile, Scrum, and Kanban. They have different principles of operation, the degree of formalization of processes, and approaches to planning and interaction between project participants. Classical approaches, such as Waterfall, provide high structuring and predictability, which is important for large, long-term projects. In contrast, flexible approaches — Agile, Scrum, Kanban — allow you to adapt to changes and interact more effectively with the customer. The article provides a comprehensive analysis of modern project management methodologies used in the IT industry, including Waterfall, Agile, Scrum, and Kanban. Their strengths and weaknesses, implementation features, effectiveness in a highly dynamic environment, and specifics of use depending on the type of project are revealed. Waterfall provides predictability, while Agile and Scrum provide speed and adaptability. Kanban is most effective in environments where stability and load control are required. Additionally, an assessment of current trends in the development of hybrid models and their impact on the performance of development teams is provided. The analysis shows that no methodology is universal. Each has its own strengths and weaknesses, which determine its application depending on the type of project, level of uncertainty, customer requirements, and team characteristics. Flexible methodologies dominate the modern IT industry due to their adaptability, but Waterfall remains relevant in large structured projects. Combined models are becoming a trend because they allow you to combine the advantages of several approaches. The results obtained can become the basis for further research on optimizing IT project management processes.