Study the Integration of Generative Artificial Intelligence on Project Lifecycle in Software Development Projects in Sri Lanka

Abstract

This study explores the integration of Generative Artificial Intelligence (AI) across the project lifecycle phases in Sri Lanka’s software development sector. The primary focus is investigating how Generative AI influences decision-making and collaboration during initiation, planning, execution, monitoring, and closure. The research objectives include understanding the role of Generative AI in enhancing project management processes, identifying barriers to adoption, and exploring opportunities for its effective use. Using a qualitative research design; data were collected through semi-structured interviews with 12 professionals, including project managers, developers, and AI specialists, selected via purposive sampling. Thematic analysis was applied to derive insights into how AI supports key project activities such as feasibility assessments, resource optimization, risk forecasting, task automation, and real-time progress tracking. The findings indicate that Generative AI improves decision-making accuracy, streamlines collaboration among cross-functional teams, and enhances efficiency across all project lifecycle phases. However, resistance to change, skill gaps, and infrastructure limitations remain significant barriers. This study contributes to the literature by providing a detailed understanding of Generative AI’s strategic role in software project management in Sri Lanka. It highlights actionable recommendations for overcoming adoption barriers, fostering innovation, and maximizing AI’s potential to improve project outcomes. The results guide policymakers and industry practitioners aiming to integrate AI into project workflows effectively.