| dc.description.abstract | In today’s rapidly changing software development environment, project management
technologies are crucial to ensuring projects are managed effectively. The primary
objective of this study is to identify modern-day tools, methods, frameworks, and
techniques that enhance project outcomes. A systematic review was conducted on
100 research papers, from which 50 were selected based on inclusion and exclusion
criteria. After further evaluation, 25 key studies were chosen for analysis to assess
their relevance, quality, and applicability. The findings of the study highlight the
importance of Agile and Lean approaches and identify Scrum and Kanban as the most
effective frameworks. It also discusses the innovative potential of combining Cloud
Computing and Artificial Intelligence (AI) with Lean and Agile methodologies. These
integrations are identified to increase project efficiency, speed up decision-making,
optimize resources, and provide better scalability. The study specifically reveals how
cloud-based platforms and AI-powered data analysis allow real-time project monitoring,
contributing to data-driven decision-making and enhancing resource allocation. It
also examines how modern technologies transform traditional project management
practices, addressing the challenges of resource management and project complexity.
Furthermore, the study proposes future research directions, such as the exploration of
limitations of Lean and Agile methodologies, the growth of AI-based solutions, and the
application of Cloud Computing across different organizational types. | en_US |
